What Analytical Jobs are in Malaysia?
Showing 14 Analytical jobs in Malaysia
Specialized Analytics Lead Data Engineer - Internal Fraud Analytics, Vice President
Kuala Lumpur
Citigroup
Posted 6 days ago
Job Viewed
Job Description
The Specialized Analytics Ld Data Engineer
As part of the Internal Fraud Analytics, this role executes the fraud analytics and strategies supporting Citi's North American internal fraud detection. This includes leveraging data to identify internal fraud opportunities, designing and implementing strategies to detect internal fraud and violation of code conduct.
This role partners closely with Internal Fraud Operations, Prevention team and technology partners to align of business and technology direction in order to determine potential and existing internal fraud impacts and carry out whole cycle of implementation. Requires good analytical skills to filter, prioritize and validate potentially complex and dynamic material from multiple data sources. Excellent communication and diplomacy skills are required.
**Responsibilities:**
+ Lead design, develop, implement, and support new and existing complex rule logic based on understanding of data and fraud scenario.
+ Leverage data and advanced analytics to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
+ Support the timely and accurate delivery of sandbox implementation and simulation of all detective routines, as well as following up with regional technology development and support team on the testing and deployment of the routines in Production environment.
+ Keep gaining domain and data knowledge.
+ Generate and manage regular and ad-hoc reporting to enable effective investigation and identification of detection possibilities.
+ Develop technology documentation to support production deployments as well as ongoing maintenance of reporting and data solutions.
+ Troubleshoot, diagnose, and resolve data quality and performance issues.
+ Support technical and analytic needs for control risk and audit activities.
**Qualifications:**
+ Bachelor's Degree required in statistics, mathematics, physics, economics, or other analytical or quantitative discipline. Master's Degree or PhD preferred.
+ 10+ years of experience in data analytics, data engineer and analytical project implementation.
**Experience:**
+ Substantive hands-on coding experience in a big data environment. Solid SQL and Python skills are required. PySpark experience is valued.
+ Excellent exploratory analytic skills: hands-on data validation skills and business analysis acumen to derive patterns and insights and perform risk/reward trade-off analysis.
+ Creative problem-solving skills; intellectual curiosity; highly detail oriented.
+ Deep understanding of data management such as data pipeline and data quality.
+ Must be able to work independently, take ownership of projects, and drive them to completion in a loosely structured setting.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
\#LI-NC2
---
**Job Family Group:**
Decision Management
---
**Job Family:**
Specialized Analytics (Data Science/Computational Statistics)
---
**Time Type:**
Full time
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
As part of the Internal Fraud Analytics, this role executes the fraud analytics and strategies supporting Citi's North American internal fraud detection. This includes leveraging data to identify internal fraud opportunities, designing and implementing strategies to detect internal fraud and violation of code conduct.
This role partners closely with Internal Fraud Operations, Prevention team and technology partners to align of business and technology direction in order to determine potential and existing internal fraud impacts and carry out whole cycle of implementation. Requires good analytical skills to filter, prioritize and validate potentially complex and dynamic material from multiple data sources. Excellent communication and diplomacy skills are required.
**Responsibilities:**
+ Lead design, develop, implement, and support new and existing complex rule logic based on understanding of data and fraud scenario.
+ Leverage data and advanced analytics to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
+ Support the timely and accurate delivery of sandbox implementation and simulation of all detective routines, as well as following up with regional technology development and support team on the testing and deployment of the routines in Production environment.
+ Keep gaining domain and data knowledge.
+ Generate and manage regular and ad-hoc reporting to enable effective investigation and identification of detection possibilities.
+ Develop technology documentation to support production deployments as well as ongoing maintenance of reporting and data solutions.
+ Troubleshoot, diagnose, and resolve data quality and performance issues.
+ Support technical and analytic needs for control risk and audit activities.
**Qualifications:**
+ Bachelor's Degree required in statistics, mathematics, physics, economics, or other analytical or quantitative discipline. Master's Degree or PhD preferred.
+ 10+ years of experience in data analytics, data engineer and analytical project implementation.
**Experience:**
+ Substantive hands-on coding experience in a big data environment. Solid SQL and Python skills are required. PySpark experience is valued.
+ Excellent exploratory analytic skills: hands-on data validation skills and business analysis acumen to derive patterns and insights and perform risk/reward trade-off analysis.
+ Creative problem-solving skills; intellectual curiosity; highly detail oriented.
+ Deep understanding of data management such as data pipeline and data quality.
+ Must be able to work independently, take ownership of projects, and drive them to completion in a loosely structured setting.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
\#LI-NC2
---
**Job Family Group:**
Decision Management
---
**Job Family:**
Specialized Analytics (Data Science/Computational Statistics)
---
**Time Type:**
Full time
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
Is this job a match or a miss?
Apply Now
0
Job Description
**Job Description Summary**
Analytics Consulting is an exciting discipline combining traditional consulting with analytics disciplines such as data science, statistics, simulation and predictive modelling. Engagements follow a problem back approach, leveraging interviews and data mining to align clients around high-value problem statements, then designing targeted solutions to improve performance. Project types include designing efficient healthcare facilities, re-configuring existing capacity for patient throughput and experience, improving health system utilization and implementing real-time analytics in command centers to dynamically optimize coordination of patient care.
As an Analytics Senior Consultant within the GEHC Command Center team, you will be a self-starter, possess strong analytical skills, a structured approach to problem solving and experience with process improvement and statistical analysis. You will work with clients and our multi-disciplinary consulting/engineering teams to deliver GEHC Command Center solutions
GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.
**Job Description**
**Responsibilities**
+ Client facing individual responsible for the delivery of consultancy services at a client site(s).
+ Lead the collection, validation and analysis of healthcare data to support engagement objectives.
+ Plans, leads and coordinates clinical command centre programs with large scope and scale, ensuring high quality delivery within area of responsibility and client satisfaction.
+ Develops and demonstrates specialized knowledge related to patient flow, quality, hospital operations and clinical practice in hospitals and non-hospital settings.
+ Serves as a resource for best practices and quality. Has awareness of latest technical developments in own area.
+ Contributing to the planning and completion of high-quality engagement deliverables on time and on budget.
+ Lead the design and layout of analysis and in writing accurate reports to depict findings, contributing to the development of conclusions and recommendations.
+ Development of clear and insightful executive-level presentations.
+ Establishing credibility and develop relationships with mid-level client managers.
+ Serving as a professional representative of GE Healthcare in all public and client settings.
+ Participating in Knowledge Management activities as directed.
**Qualifications**
+ Bachelor's degree in industrial or electrical engineering, Math or Statistics or related discipline.
+ Deep analytical skills and experience in delivery of Healthcare Digital solution.
+ Hands-on experience in ETL technologies and automation methods on large-scale data warehousing architecture.
+ Experience with data integration and industry standard such as HL7, FHIR, API.
+ Experience with analytic techniques: regression analysis, simulation modelling, timeseries forecasting, hypothesis testing using Python, R, SAS or similar software.
+ Data management in SQL or Oracle, understanding of Data Mining principles and strategies.
+ Experience in healthcare consulting and knowledge of hospital operations.
+ Hands on experience with data visualization and dashboard development in Tableau, Qlik or similar.
+ Experience with Microsoft Office programs.
+ Ability to travel minimum 75%.
+ Strong oral and written communication skills. Strong interpersonal and leadership skills.
+ Demonstrated ability to analyse and resolve problems. Demonstrated ability to lead programs / projects.
**Desired Skills**
**Formal problem solving, logic.**
+ Experience in outcome-based process improvement and driving change using Change Management tools, LEAN or Six Sigma
+ Experience in UX/UI design.
+ Software: Sketch (iOS) or equivalent.
**Inclusion and Diversity**
GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
**Behaviors**
We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership - always with unyielding integrity.
**Total Rewards**
Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you'd expect from an organization with global strength and scale, and you'll be surrounded by career opportunities in a culture that fosters care, collaboration and support.
**Additional Information**
**Relocation Assistance Provided:** No
Analytics Consulting is an exciting discipline combining traditional consulting with analytics disciplines such as data science, statistics, simulation and predictive modelling. Engagements follow a problem back approach, leveraging interviews and data mining to align clients around high-value problem statements, then designing targeted solutions to improve performance. Project types include designing efficient healthcare facilities, re-configuring existing capacity for patient throughput and experience, improving health system utilization and implementing real-time analytics in command centers to dynamically optimize coordination of patient care.
As an Analytics Senior Consultant within the GEHC Command Center team, you will be a self-starter, possess strong analytical skills, a structured approach to problem solving and experience with process improvement and statistical analysis. You will work with clients and our multi-disciplinary consulting/engineering teams to deliver GEHC Command Center solutions
GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.
**Job Description**
**Responsibilities**
+ Client facing individual responsible for the delivery of consultancy services at a client site(s).
+ Lead the collection, validation and analysis of healthcare data to support engagement objectives.
+ Plans, leads and coordinates clinical command centre programs with large scope and scale, ensuring high quality delivery within area of responsibility and client satisfaction.
+ Develops and demonstrates specialized knowledge related to patient flow, quality, hospital operations and clinical practice in hospitals and non-hospital settings.
+ Serves as a resource for best practices and quality. Has awareness of latest technical developments in own area.
+ Contributing to the planning and completion of high-quality engagement deliverables on time and on budget.
+ Lead the design and layout of analysis and in writing accurate reports to depict findings, contributing to the development of conclusions and recommendations.
+ Development of clear and insightful executive-level presentations.
+ Establishing credibility and develop relationships with mid-level client managers.
+ Serving as a professional representative of GE Healthcare in all public and client settings.
+ Participating in Knowledge Management activities as directed.
**Qualifications**
+ Bachelor's degree in industrial or electrical engineering, Math or Statistics or related discipline.
+ Deep analytical skills and experience in delivery of Healthcare Digital solution.
+ Hands-on experience in ETL technologies and automation methods on large-scale data warehousing architecture.
+ Experience with data integration and industry standard such as HL7, FHIR, API.
+ Experience with analytic techniques: regression analysis, simulation modelling, timeseries forecasting, hypothesis testing using Python, R, SAS or similar software.
+ Data management in SQL or Oracle, understanding of Data Mining principles and strategies.
+ Experience in healthcare consulting and knowledge of hospital operations.
+ Hands on experience with data visualization and dashboard development in Tableau, Qlik or similar.
+ Experience with Microsoft Office programs.
+ Ability to travel minimum 75%.
+ Strong oral and written communication skills. Strong interpersonal and leadership skills.
+ Demonstrated ability to analyse and resolve problems. Demonstrated ability to lead programs / projects.
**Desired Skills**
**Formal problem solving, logic.**
+ Experience in outcome-based process improvement and driving change using Change Management tools, LEAN or Six Sigma
+ Experience in UX/UI design.
+ Software: Sketch (iOS) or equivalent.
**Inclusion and Diversity**
GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
**Behaviors**
We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership - always with unyielding integrity.
**Total Rewards**
Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you'd expect from an organization with global strength and scale, and you'll be surrounded by career opportunities in a culture that fosters care, collaboration and support.
**Additional Information**
**Relocation Assistance Provided:** No
Is this job a match or a miss?
Apply Now
1
Job Description
**Job Description**
**Are You Ready to Make It Happen at Mondelēz International?**
**Join our Mission to Lead the Future of Snacking. Make It With Pride.**
The SEA Growth Analytics Manager is part of the broader SEA Insights & Analytics (I&A) Team which also includes Country Insights and Analytics, and Equity and Innovation Insights. This position will work under the Growth Analytics and Shopper COE sub-team who will provide Prescriptive Analytics that drive agile fact-based decisions and business growth in SEA. Specifically, this position is expected to establish, strengthen and advance key Analytics pillars namely: Marketing-Media Analytics, Pricing & Strategic Analytics, Forecasting, and Business Intelligence. This position requires the right balance of analytics skills and business acumen and strong ability to communicate and partner with other functions, along with strong leadership qualities. This role will require close collaboration with other functions: Category Insights, Marketing, Media, Finance, Category Planning & Activation, RGM (Sales).
**How you will contribute**
**Responsibilities:**
**Business Optimization**
+ Promotes the use of advanced modelling and analytics in order to improve the return on marketing investments and to develop fact-based plans for the key Brands Generates and communicates the learning on application of analytics to business issues and is responsible for the identification of general principles that guide the investment of marketing & trade spend and pricing strategies.
+ Leverages the analytic tools in conjunction with the BU portfolio to inform opportunities on the distortion of resources across Categories/Brands Provides consolidated reporting for in-market performance and forecasts.
**Market Mix Modeling (MMM)** **/ Planning & ROI**
+ Independently manage multiple Marketing Mix Modeling projects which are identified as key priorities in the SEA.
+ Prepare & present regular ROI analyses, with actionable insights and opportunities, to relevant BU stakeholders Collaborate with Media Team, in Portfolio Advertising Spend optimization and distortion analysis based on MMM learnings across categories in SEA and potentially support Global Growth Analytics for any broader advertising optimization exercise.
**A&C/Trade ROI Measurement**
+ Continuity, Consistency & Comparability Ensure Good 'Science', advanced statistical, calibrated Econometric Modeling Harmonized key metrics, definitions, inputs to enable "apples to apples" comparison across brands, markets on ROI's, drivers of growth Cover business/brand drivers holistically ensuring sufficient granularity (especially Media mix, Price & Promo, NPDs)
**Pricing Analytics**
+ Independently manage multiple Pricing Research or Price Pack Architecture Analyses based on identified priorities and needs in SEA.
+ Utilize core PPA tools such as Mekko Charts, Threshold and Quartile analyses and run Pricing Simulators to flesh out and measure key PPA opportunities in SEA.
**Category Forecasting**
+ Forecast category growth for next 1-4 yrs leveraging the current best model/framework.
+ Working with cross-functional team to align and understand the trends and assumptions and then integrate category forecast in Annual Plan and Strategic Plan.
+ Validate the category growth forecast and identify opportunities to better recalibrate current models.
**Continuous Improvement & Innovation in New age analytics**
+ Develop category knowledge, ROI, Media optimization learnings from MMM and Portfolio optimization opportunities and enhance inputs to Brand Drivers modeling, ROI measurement & Optimization capability
+ Continuous process improvement to reduce cycle time & costs across all elements of the MMM process - esp. data collection, modeling
+ Understands and is able to drive social listening skill set within the team and use social listening tools to analyze and share inputs for the growth agenda of the BU.
+ Is able to forecast new product volumes accurately.
**Communication:**
+ Communicate all learning and insights in a compelling way to drive action: Ensure presentations and reports are clear, timely and inspiring as well as actionable. Influence BU Teams. Build management confidence in recommended actions with appropriate interpretation and integration of key concepts.
**Workshop & Activation:**
+ Set up detailed agenda, invite key stakeholders, arrange other logistics related to a debrief workshop to share and align on the learnings, recommendations which should be considered for short term (Annual Business Plans) and long term (Strategic 3-year Plans).
**What you will bring**
A desire to drive your future and accelerate your career and the following experience and knowledge:
+ **Min 7+ years working experience** in marketing research, Advanced Analytics preferably at a CPG or FMCG company and **2 years in MMM** & forecasting/business planning in increasing responsibility positions.
+ **Min. Bachelor's Degree** (Social Science, Business Administration, Marketing, Statistics, Economics, required)
+ High analytical skills and wisdom/judgement to evaluate and improve delivery - Strong knowledge of advanced analytics methods ( **Marketing Mix** Econometric modeling, **Forecasting Simulators** , **Price Pack Architecture** / Pricing, Dashboarding, Innovation Incrementality. etc.)
+ Able to synthesize data from different sources into a well-structured story with clear implications
+ Has very good understanding of Pricing concepts - Price elasticity, demand & supply theory, role of pricing in relation to other marketing mix sales drivers
+ Good interpersonal, intercultural and communication / influence skills
+ Worked with Market research data sources (Retail Measurement, Brand Health Trackers and Consumer & Shopper panels, Euromonitor, assessment of data quality)
+ Effective management skills to develop team and lead/contribute to project management of custom projects.
+ Competent in all standard PC packages including Excel, Word, PowerPoint
+ Experience in using Nielsen Retail Audit database software (Answers, Nielsen Insight Studio) to extract data, prepare reports & dashboards
+ Strong knowledge, capability & experience in Household Consumer Panel, Euromonitor & Media Databases
+ Experience in working with **advanced statistics**
**More about this role**
This position requires a proactive, mature and self-reliant person who can always take the initiative and influence within a broad team environment. Specific skills also include Superior written and verbal communication skills. A strong storyteller, a lucid and structured communicator, who makes their point clearly and persuasively.
- Must be able to handle numerous projects at one time and meet fast turnaround deadlines
- Advanced organizational skills
- A good balance between using empirical data and common sense and "gut feel"
- Prior knowledge and experience of the Mondelēz International organization is preferred but not a requirement.
- Persuasive and stimulating 'packaging' and presentation of all materials is a significant part of the job, as is explaining/arguing/defending/developing the thinking in all meetings and communication scenarios.
- Balancing the ability to deliver with urgency with the ability of keeping momentum due to the reality that building capabilities is more of a marathon than a sprint - Take, understand and establish project briefs, communicating and presenting to all parties to ensure the approach is supported, project managed and excellence is achieved
- Become a respected internal source of knowledge on best practices
No Relocation support available
**Business Unit Summary**
**Mondelēz International in Southeast Asia is in five countries serving 19 markets with more than 18 nationalities and 7,500 employees. This group is emerging as one of the fastest growing regions in Asia, the Middle East and Africa, and we are proud of consistently producing high quality products in nine manufacturing sites. We are market leaders in key snacking categories, making and selling brands like** **_Oreo_** **and** **_Tiger_** **biscuits,** **_Kinh Do_** **mooncakes,** **_Jacob's_** **crackers,** **_Cadbury Dairy Milk_** **chocolate,** **_Tang_** **powdered beverage,** **_Halls_** **candy and** **_Eden_** **cheese. We set the benchmark in being a responsible business and contributing to the communities in which we operate.**
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
**Job Type**
Regular
Analytics & Modelling
Analytics & Data Science
At Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
Join us and Make It An Opportunity!
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.
**Are You Ready to Make It Happen at Mondelēz International?**
**Join our Mission to Lead the Future of Snacking. Make It With Pride.**
The SEA Growth Analytics Manager is part of the broader SEA Insights & Analytics (I&A) Team which also includes Country Insights and Analytics, and Equity and Innovation Insights. This position will work under the Growth Analytics and Shopper COE sub-team who will provide Prescriptive Analytics that drive agile fact-based decisions and business growth in SEA. Specifically, this position is expected to establish, strengthen and advance key Analytics pillars namely: Marketing-Media Analytics, Pricing & Strategic Analytics, Forecasting, and Business Intelligence. This position requires the right balance of analytics skills and business acumen and strong ability to communicate and partner with other functions, along with strong leadership qualities. This role will require close collaboration with other functions: Category Insights, Marketing, Media, Finance, Category Planning & Activation, RGM (Sales).
**How you will contribute**
**Responsibilities:**
**Business Optimization**
+ Promotes the use of advanced modelling and analytics in order to improve the return on marketing investments and to develop fact-based plans for the key Brands Generates and communicates the learning on application of analytics to business issues and is responsible for the identification of general principles that guide the investment of marketing & trade spend and pricing strategies.
+ Leverages the analytic tools in conjunction with the BU portfolio to inform opportunities on the distortion of resources across Categories/Brands Provides consolidated reporting for in-market performance and forecasts.
**Market Mix Modeling (MMM)** **/ Planning & ROI**
+ Independently manage multiple Marketing Mix Modeling projects which are identified as key priorities in the SEA.
+ Prepare & present regular ROI analyses, with actionable insights and opportunities, to relevant BU stakeholders Collaborate with Media Team, in Portfolio Advertising Spend optimization and distortion analysis based on MMM learnings across categories in SEA and potentially support Global Growth Analytics for any broader advertising optimization exercise.
**A&C/Trade ROI Measurement**
+ Continuity, Consistency & Comparability Ensure Good 'Science', advanced statistical, calibrated Econometric Modeling Harmonized key metrics, definitions, inputs to enable "apples to apples" comparison across brands, markets on ROI's, drivers of growth Cover business/brand drivers holistically ensuring sufficient granularity (especially Media mix, Price & Promo, NPDs)
**Pricing Analytics**
+ Independently manage multiple Pricing Research or Price Pack Architecture Analyses based on identified priorities and needs in SEA.
+ Utilize core PPA tools such as Mekko Charts, Threshold and Quartile analyses and run Pricing Simulators to flesh out and measure key PPA opportunities in SEA.
**Category Forecasting**
+ Forecast category growth for next 1-4 yrs leveraging the current best model/framework.
+ Working with cross-functional team to align and understand the trends and assumptions and then integrate category forecast in Annual Plan and Strategic Plan.
+ Validate the category growth forecast and identify opportunities to better recalibrate current models.
**Continuous Improvement & Innovation in New age analytics**
+ Develop category knowledge, ROI, Media optimization learnings from MMM and Portfolio optimization opportunities and enhance inputs to Brand Drivers modeling, ROI measurement & Optimization capability
+ Continuous process improvement to reduce cycle time & costs across all elements of the MMM process - esp. data collection, modeling
+ Understands and is able to drive social listening skill set within the team and use social listening tools to analyze and share inputs for the growth agenda of the BU.
+ Is able to forecast new product volumes accurately.
**Communication:**
+ Communicate all learning and insights in a compelling way to drive action: Ensure presentations and reports are clear, timely and inspiring as well as actionable. Influence BU Teams. Build management confidence in recommended actions with appropriate interpretation and integration of key concepts.
**Workshop & Activation:**
+ Set up detailed agenda, invite key stakeholders, arrange other logistics related to a debrief workshop to share and align on the learnings, recommendations which should be considered for short term (Annual Business Plans) and long term (Strategic 3-year Plans).
**What you will bring**
A desire to drive your future and accelerate your career and the following experience and knowledge:
+ **Min 7+ years working experience** in marketing research, Advanced Analytics preferably at a CPG or FMCG company and **2 years in MMM** & forecasting/business planning in increasing responsibility positions.
+ **Min. Bachelor's Degree** (Social Science, Business Administration, Marketing, Statistics, Economics, required)
+ High analytical skills and wisdom/judgement to evaluate and improve delivery - Strong knowledge of advanced analytics methods ( **Marketing Mix** Econometric modeling, **Forecasting Simulators** , **Price Pack Architecture** / Pricing, Dashboarding, Innovation Incrementality. etc.)
+ Able to synthesize data from different sources into a well-structured story with clear implications
+ Has very good understanding of Pricing concepts - Price elasticity, demand & supply theory, role of pricing in relation to other marketing mix sales drivers
+ Good interpersonal, intercultural and communication / influence skills
+ Worked with Market research data sources (Retail Measurement, Brand Health Trackers and Consumer & Shopper panels, Euromonitor, assessment of data quality)
+ Effective management skills to develop team and lead/contribute to project management of custom projects.
+ Competent in all standard PC packages including Excel, Word, PowerPoint
+ Experience in using Nielsen Retail Audit database software (Answers, Nielsen Insight Studio) to extract data, prepare reports & dashboards
+ Strong knowledge, capability & experience in Household Consumer Panel, Euromonitor & Media Databases
+ Experience in working with **advanced statistics**
**More about this role**
This position requires a proactive, mature and self-reliant person who can always take the initiative and influence within a broad team environment. Specific skills also include Superior written and verbal communication skills. A strong storyteller, a lucid and structured communicator, who makes their point clearly and persuasively.
- Must be able to handle numerous projects at one time and meet fast turnaround deadlines
- Advanced organizational skills
- A good balance between using empirical data and common sense and "gut feel"
- Prior knowledge and experience of the Mondelēz International organization is preferred but not a requirement.
- Persuasive and stimulating 'packaging' and presentation of all materials is a significant part of the job, as is explaining/arguing/defending/developing the thinking in all meetings and communication scenarios.
- Balancing the ability to deliver with urgency with the ability of keeping momentum due to the reality that building capabilities is more of a marathon than a sprint - Take, understand and establish project briefs, communicating and presenting to all parties to ensure the approach is supported, project managed and excellence is achieved
- Become a respected internal source of knowledge on best practices
No Relocation support available
**Business Unit Summary**
**Mondelēz International in Southeast Asia is in five countries serving 19 markets with more than 18 nationalities and 7,500 employees. This group is emerging as one of the fastest growing regions in Asia, the Middle East and Africa, and we are proud of consistently producing high quality products in nine manufacturing sites. We are market leaders in key snacking categories, making and selling brands like** **_Oreo_** **and** **_Tiger_** **biscuits,** **_Kinh Do_** **mooncakes,** **_Jacob's_** **crackers,** **_Cadbury Dairy Milk_** **chocolate,** **_Tang_** **powdered beverage,** **_Halls_** **candy and** **_Eden_** **cheese. We set the benchmark in being a responsible business and contributing to the communities in which we operate.**
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
**Job Type**
Regular
Analytics & Modelling
Analytics & Data Science
At Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
Join us and Make It An Opportunity!
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.
Is this job a match or a miss?
Apply Now
2
Job Description
**Company Description**
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
**Job Description**
The Business Analyst - Procurement Analytics & Resilience is responsible for building and scaling data-driven insights across commodities, cost structures, supply risk, and BOM-level intelligence.
This role sits at the intersection of Procurement, Engineering, Finance, and Supply Chain and will enable proactive decision-making through advanced analytics, cost modeling, and risk intelligence.
The analyst will play a critical role in strengthening supply assurance, improving cost competitiveness, and enabling early identification and mitigation of supply and financial risks across the full product lifecycle.
**Key Responsibilities**
**1. Commodity & Market Analytics**
+ Develop commodity intelligence models to track pricing trends, supply-demand dynamics, and cost drivers
+ Support category strategies with data-driven insights on market movements, inflation exposure, and supplier positioning
+ Analyze supplier behavior, capacity constraints, and allocation risks to inform sourcing strategy
**2. Cost Modeling & Financial Analytics**
+ Build and maintain should-cost models across key commodities and components
+ Perform cost decomposition (materials, labor, overhead, margin) to identify savings opportunities
+ Support sourcing and negotiation strategies with quantified cost targets and benchmarking
+ Partner with Finance to align cost assumptions, validate savings, and support ROI-based decision-making
**3. BOM & Part-Level Analytics**
+ Analyze bill-of-materials (BOM) structures to identify cost, risk, and standardization opportunities
+ Build scalable BOM health dashboards to improve visibility into component risk and cost optimization opportunities
+ Identify single-source exposure, lifecycle risks (e.g., EOL), and opportunities for part consolidation or platforming
+ Support NPI teams with early-stage BOM analytics to drive design-to-cost and supply resilience
**4. Supply Risk, Resilience & Mitigation**
+ Develop component- and supplier-level risk models (single-source, geo, capacity, financial health)
+ Enable proactive risk identification across Tier 1/Tier 2/Tier 3 supply chain layers
+ Quantify business impact (revenue risk, supply continuity risk) and prioritize mitigation actions
+ Track mitigation execution (dual-sourcing, LTAs, buffer strategies) and measure effectiveness
+ Partner with Upstream Resiliency / Program Sentinel initiatives to scale enterprise risk visibility
**5. Data, Tools & Dashboarding**
+ Build and scale analytics solutions (Power BI, SQL, Python, or equivalent) for real-time visibility
+ Integrate data across procurement, engineering, planning, and finance systems
+ Develop executive-level dashboards covering:
+ Component risk exposure
+ Cost trends and savings opportunities
+ Supplier performance and SLA compliance
+ Drive automation of manual processes (BOM analysis, cost tracking, risk scoring)
**6. Cross-Functional Enablement**
+ Partner with Engineering on design trade-offs balancing cost, performance, and supply risk
+ Collaborate with Category Managers to embed analytics into sourcing decisions
+ Support NPI, PMO, and Supply Chain teams with insights that influence product readiness and execution
+ Translate complex data into clear, actionable recommendations for leadership
**Qualifications**
**Required**
+ 5-8+ years of experience in business analytics, procurement, supply chain, or finance
+ Strong experience in:
+ Cost modeling / financial analysis
+ Data analytics and visualization (Power BI, Tableau, Excel advanced modeling)
+ Understanding of supply chain concepts (BOMs, sourcing, supplier management, cost drivers)
+ Proven ability to work cross-functionally in a matrixed environment
+ Strong problem-solving skills with ability to translate data into business decisions
**Preferred**
+ Experience in semiconductor, electronics, or direct materials procurement
+ Exposure to should-cost modeling, teardown analysis, or commodity management
+ Knowledge of ERP and procurement systems (SAP, Ariba, etc.)
+ Experience with supply risk tools, data platforms, or predictive analytics
**Additional Information**
Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal ( " poster. Our pay transparency policy is available here ( .
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Based on our experience, we anticipate that the application deadline will be **05/17/2026** although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline.
\#LI-RT1
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at ( ) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
**NOTICE TO CANDIDATES:** Sandisk has received reports of scams where a payment is requested on Sandisk's behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline ( or email
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
**Job Description**
The Business Analyst - Procurement Analytics & Resilience is responsible for building and scaling data-driven insights across commodities, cost structures, supply risk, and BOM-level intelligence.
This role sits at the intersection of Procurement, Engineering, Finance, and Supply Chain and will enable proactive decision-making through advanced analytics, cost modeling, and risk intelligence.
The analyst will play a critical role in strengthening supply assurance, improving cost competitiveness, and enabling early identification and mitigation of supply and financial risks across the full product lifecycle.
**Key Responsibilities**
**1. Commodity & Market Analytics**
+ Develop commodity intelligence models to track pricing trends, supply-demand dynamics, and cost drivers
+ Support category strategies with data-driven insights on market movements, inflation exposure, and supplier positioning
+ Analyze supplier behavior, capacity constraints, and allocation risks to inform sourcing strategy
**2. Cost Modeling & Financial Analytics**
+ Build and maintain should-cost models across key commodities and components
+ Perform cost decomposition (materials, labor, overhead, margin) to identify savings opportunities
+ Support sourcing and negotiation strategies with quantified cost targets and benchmarking
+ Partner with Finance to align cost assumptions, validate savings, and support ROI-based decision-making
**3. BOM & Part-Level Analytics**
+ Analyze bill-of-materials (BOM) structures to identify cost, risk, and standardization opportunities
+ Build scalable BOM health dashboards to improve visibility into component risk and cost optimization opportunities
+ Identify single-source exposure, lifecycle risks (e.g., EOL), and opportunities for part consolidation or platforming
+ Support NPI teams with early-stage BOM analytics to drive design-to-cost and supply resilience
**4. Supply Risk, Resilience & Mitigation**
+ Develop component- and supplier-level risk models (single-source, geo, capacity, financial health)
+ Enable proactive risk identification across Tier 1/Tier 2/Tier 3 supply chain layers
+ Quantify business impact (revenue risk, supply continuity risk) and prioritize mitigation actions
+ Track mitigation execution (dual-sourcing, LTAs, buffer strategies) and measure effectiveness
+ Partner with Upstream Resiliency / Program Sentinel initiatives to scale enterprise risk visibility
**5. Data, Tools & Dashboarding**
+ Build and scale analytics solutions (Power BI, SQL, Python, or equivalent) for real-time visibility
+ Integrate data across procurement, engineering, planning, and finance systems
+ Develop executive-level dashboards covering:
+ Component risk exposure
+ Cost trends and savings opportunities
+ Supplier performance and SLA compliance
+ Drive automation of manual processes (BOM analysis, cost tracking, risk scoring)
**6. Cross-Functional Enablement**
+ Partner with Engineering on design trade-offs balancing cost, performance, and supply risk
+ Collaborate with Category Managers to embed analytics into sourcing decisions
+ Support NPI, PMO, and Supply Chain teams with insights that influence product readiness and execution
+ Translate complex data into clear, actionable recommendations for leadership
**Qualifications**
**Required**
+ 5-8+ years of experience in business analytics, procurement, supply chain, or finance
+ Strong experience in:
+ Cost modeling / financial analysis
+ Data analytics and visualization (Power BI, Tableau, Excel advanced modeling)
+ Understanding of supply chain concepts (BOMs, sourcing, supplier management, cost drivers)
+ Proven ability to work cross-functionally in a matrixed environment
+ Strong problem-solving skills with ability to translate data into business decisions
**Preferred**
+ Experience in semiconductor, electronics, or direct materials procurement
+ Exposure to should-cost modeling, teardown analysis, or commodity management
+ Knowledge of ERP and procurement systems (SAP, Ariba, etc.)
+ Experience with supply risk tools, data platforms, or predictive analytics
**Additional Information**
Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal ( " poster. Our pay transparency policy is available here ( .
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Based on our experience, we anticipate that the application deadline will be **05/17/2026** although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline.
\#LI-RT1
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at ( ) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
**NOTICE TO CANDIDATES:** Sandisk has received reports of scams where a payment is requested on Sandisk's behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline ( or email
Is this job a match or a miss?
Apply Now
3
Job Description
The Opportunity:
This role sits within the Marketing function of Manulife Insurance Berhad and partners closely with business leaders to identify, shape and deliver AI-enabled opportunities that improve employee productivity, strengthen customer engagement and accelerate revenue growth. The position is the key AI practitioner in Manulife and works in strong collaboration with the Asia Regional AI Centre of Excellence, Data Office, IT, and cross-functional business stakeholders to translate strategic priorities into scalable AI solutions and drive enterprise adoption plans.
The incumbent is accountable for end-to-end delivery of AI, Generative AI and advanced analytics use cases from discovery and value sizing, to solution design, prompt engineering and evaluation, to deployment, adoption and ongoing performance monitoring. The role also requires strong stakeholder leadership building trusted relationships with business leaders, aligning diverse stakeholder groups around priorities, communicating AI concepts in clear business language, and influencing decisions through articulation of value, risks, trade-offs and change implications.
**Position Responsibilities:**
- Business partnering & stakeholder engagement: build strong relationships with Marketing and adjacent business leaders (e.g., Agency, Bancassurance, Operations) to identify AI opportunities, clarify business pain points, align priorities, and maintain a value-driven AI backlog that is jointly owned and understood by stakeholders.
- Advanced analytics & machine learning: develop and enhance models such as propensity/segmentation, campaign targeting, performance analytics, lapse and anti-attrition models ; support ongoing monitoring and enhancement of existing models and ensure local relevance through calibration and stakeholder feedback.
- GenAI solution delivery & prompt engineering: Develop and implement cutting-edge machine learning models to tackle complex business challenges, utilizing a diverse range of algorithms and techniques, with a primary emphasis on AI tech patterns like RAG and Multi-Agent approach; collaborate with Data engineers and IT Subject Matter Experts (SMEs) to gain a deep understanding of source data and harness large datasets to prepare and optimize data for the development of solutions.
- Adoption, communication & change enablement: work with IT and People to activate employee adoption through playbooks, training, stakeholder communications and a community of practice; articulate the business value of AI solutions clearly to different audiences, coach business users on how to embed AI into daily workflows, and measure adoption and realized benefits.
- Standards & responsible AI: contribute to AI governance processes by maintaining use-case inventory, supporting risk/controls assessments, monitoring solution performance, and promoting cost-optimized and responsible usage of AI services.
**Required Qualifications:**
- Bachelor's degree in Computer Science, Data Science, Actuarial Science, Statistics or related quantitative field
- 8+ years of experience in analytics, data science, AI / GenAI solution delivery
- Strong proficiency in Python and SQL; experience with analytics/ML libraries and building repeatable data pipelines.
- Working knowledge of modern GenAI patterns (prompt engineering, RAG, tool/function calling, agentic workflows) and experience using enterprise platforms such as Azure OpenAI, Microsoft Copilot and Copilot Studio.
- Working knowledge of GenAI orchestration packages like LangChain, LangGraph, as well as a deep understanding of agile solution development principle
- Experience with cloud and data platforms (e.g., Azure, Databricks/Spark) and basic MLOps practices (versioning, monitoring, evaluation, release management).
- Strong ability to translate business needs into AI solution designs, communicate complex technical concepts in simple business language, and influence stakeholders across different seniority levels.
- Strong stakeholder management, executive communication and change leadership skills; able to build credibility with senior business stakeholders, facilitate alignment across cross-functional teams, and articulate AI strategy, use-case value and delivery trade-offs with clarity and confidence.
**Preferred Qualifications:**
- Hands-on experience on Agentic AI
- Experience in insurance (life/health), marketing analytics, customer segmentation or distribution analytics is strongly preferred.
**_When you join our team:_**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our global team, we'll support you in shaping the future you want to see.
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Modalidades de Trabajo**
Híbrido
This role sits within the Marketing function of Manulife Insurance Berhad and partners closely with business leaders to identify, shape and deliver AI-enabled opportunities that improve employee productivity, strengthen customer engagement and accelerate revenue growth. The position is the key AI practitioner in Manulife and works in strong collaboration with the Asia Regional AI Centre of Excellence, Data Office, IT, and cross-functional business stakeholders to translate strategic priorities into scalable AI solutions and drive enterprise adoption plans.
The incumbent is accountable for end-to-end delivery of AI, Generative AI and advanced analytics use cases from discovery and value sizing, to solution design, prompt engineering and evaluation, to deployment, adoption and ongoing performance monitoring. The role also requires strong stakeholder leadership building trusted relationships with business leaders, aligning diverse stakeholder groups around priorities, communicating AI concepts in clear business language, and influencing decisions through articulation of value, risks, trade-offs and change implications.
**Position Responsibilities:**
- Business partnering & stakeholder engagement: build strong relationships with Marketing and adjacent business leaders (e.g., Agency, Bancassurance, Operations) to identify AI opportunities, clarify business pain points, align priorities, and maintain a value-driven AI backlog that is jointly owned and understood by stakeholders.
- Advanced analytics & machine learning: develop and enhance models such as propensity/segmentation, campaign targeting, performance analytics, lapse and anti-attrition models ; support ongoing monitoring and enhancement of existing models and ensure local relevance through calibration and stakeholder feedback.
- GenAI solution delivery & prompt engineering: Develop and implement cutting-edge machine learning models to tackle complex business challenges, utilizing a diverse range of algorithms and techniques, with a primary emphasis on AI tech patterns like RAG and Multi-Agent approach; collaborate with Data engineers and IT Subject Matter Experts (SMEs) to gain a deep understanding of source data and harness large datasets to prepare and optimize data for the development of solutions.
- Adoption, communication & change enablement: work with IT and People to activate employee adoption through playbooks, training, stakeholder communications and a community of practice; articulate the business value of AI solutions clearly to different audiences, coach business users on how to embed AI into daily workflows, and measure adoption and realized benefits.
- Standards & responsible AI: contribute to AI governance processes by maintaining use-case inventory, supporting risk/controls assessments, monitoring solution performance, and promoting cost-optimized and responsible usage of AI services.
**Required Qualifications:**
- Bachelor's degree in Computer Science, Data Science, Actuarial Science, Statistics or related quantitative field
- 8+ years of experience in analytics, data science, AI / GenAI solution delivery
- Strong proficiency in Python and SQL; experience with analytics/ML libraries and building repeatable data pipelines.
- Working knowledge of modern GenAI patterns (prompt engineering, RAG, tool/function calling, agentic workflows) and experience using enterprise platforms such as Azure OpenAI, Microsoft Copilot and Copilot Studio.
- Working knowledge of GenAI orchestration packages like LangChain, LangGraph, as well as a deep understanding of agile solution development principle
- Experience with cloud and data platforms (e.g., Azure, Databricks/Spark) and basic MLOps practices (versioning, monitoring, evaluation, release management).
- Strong ability to translate business needs into AI solution designs, communicate complex technical concepts in simple business language, and influence stakeholders across different seniority levels.
- Strong stakeholder management, executive communication and change leadership skills; able to build credibility with senior business stakeholders, facilitate alignment across cross-functional teams, and articulate AI strategy, use-case value and delivery trade-offs with clarity and confidence.
**Preferred Qualifications:**
- Hands-on experience on Agentic AI
- Experience in insurance (life/health), marketing analytics, customer segmentation or distribution analytics is strongly preferred.
**_When you join our team:_**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our global team, we'll support you in shaping the future you want to see.
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Modalidades de Trabajo**
Híbrido
Is this job a match or a miss?
Apply Now
4
SAP Analytics Cloud (SAC) Planning Consultant
Cyberjaya
NTT America, Inc.
Posted 9 days ago
Job Viewed
Job Description
**Do you love challenges?**
We are looking for an experienced **SAP Analytics Cloud (SAC) Planning Consultant** to design, implement, and support enterprise planning solutions using SAP Analytics Cloud. The role focuses on **financial and operational planning** , budgeting, forecasting, and scenario analysis, working closely with business stakeholders to translate requirements into scalable SAC planning models.
This role requires a **strong functional planning background** with hands-on SAC Planning experience and the ability to bridge business and technical teams.
We are looking for an experienced **SAP Analytics Cloud (SAC) Planning Consultant** to design, implement, and support enterprise planning solutions using SAP Analytics Cloud. The role focuses on **financial and operational planning** , budgeting, forecasting, and scenario analysis, working closely with business stakeholders to translate requirements into scalable SAC planning models.
This role requires a **strong functional planning background** with hands-on SAC Planning experience and the ability to bridge business and technical teams.
Is this job a match or a miss?
Apply Now
5
Director, Product Management, Advanced Analytics & AI
Remote
Mastercard
Posted 9 days ago
Job Viewed
Job Description
**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Director, Product Management, Advanced Analytics & AI
Director, Product Management, Advanced Analytics & AI
Mastercard's Services organization is a key growth engine, delivering data-driven insights, analytics, and AI-powered solutions that enable clients to make smarter decisions and achieve better outcomes. Within Services, the Business & Market Insights (BMI) organization builds and commercialises analytics, experimentation, and decisioning products across financial and non-financial industries.
Overview
The Advanced Analytics & AI team applies sophisticated analytics, AI, and Mastercard data assets to solve complex industry problems at scale, working across product, sales, and delivery teams in a matrixed global environment.
The Services team is a key differentiator for Mastercard, providing the cutting-edge services that help our customers make smarter decisions and drive better outcomes. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centred on data-driven technologies and innovation, these services include consulting & innovation services in payments and beyond, data insights and analytics solutions as well as loyalty and marketing programs and platforms.
Within the Services organization, the BMI product organization is focused on creating and delivering superior products for our clients in the area of operational & location insights, business intelligence, analytics and data driven experimentation. This team is accountable for ensuring we are growing our business through thoughtful product road mapping that evolves our solution sets to meet existing and new use cases, influencing global product managers to ensure the solutions in region are effective and partnering with our Business Development and Client Services teams to drive relevant go-to-market solutions for our customers in the region.
Title and Summary
Director, Product Management, Advanced Analytics & AI
Role
This role is responsible for industry-level product management for the Advanced Analytics product line for the Asia Pacific region. This role is responsible for industry-level P&L ownership and growth for Advanced Analytics & AI solutions within the relevant industry portfolio assigned across the Asia Pacific region.
The Director serves as the commercial and strategic owner of the industry portfolio, accountable for revenue growth, client adoption, and value realisation across our suite of multiple data, analytics and AI products. The role partners closely with product-led P&L owners, regional business development and delivery teams, and global product management teams to maximise total portfolio performance.
The role reports to the Vice President, Product Management, Advanced Analytics (Asia Pacific).
Key Responsibilities
Industry P&L Ownership & Growth
- Own revenue, growth targets, and commercial performance for Advanced Analytics within the relevant industries assigned across APAC
- Shape industry-specific growth strategies leveraging the full Advanced Analytics & AI product portfolio
- Balance short-term commercial outcomes with long-term scalability and margin discipline
Client & Market Leadership
- Act as the senior industry lead for Advanced Analytics & AI, engaging senior executive-level stakeholders
- Drive solution positioning, value articulation, and deal shaping for complex client opportunities
- Identify unmet industry needs and translate them into scalable analytics opportunities
Portfolio Commercialisation
- Partner with product-led P&L owners to adapt and commercialise analytics products for industry-specific use cases
- Prioritise product adoption based on industry economics, client readiness, and revenue potential
- Ensure disciplined use of customisation versus scalable solutions
Go-To-Market & Execution
- Work closely with Business Development, Client Services, and Delivery teams to execute industry GTM plans
- Support pipeline development, large deals, and strategic partnerships
- Oversee delivery quality and client outcomes within the industry portfolio
Strategic Input & Thought Leadership
- Provide structured market feedback to influence product roadmap decisions
- Monitor industry trends, regulatory shifts, and competitive dynamics
- Contribute to industry thought leadership, client events, and external positioning
All About You
- Deep expertise in each the industry verticals within the portfolio under management, including business models, economics, and data-driven decisioning
- Proven experience owning or contributing to P&L management, revenue growth, or commercial portfolios
- Strong background in analytics, AI, strategy consulting, and/or data-driven products
- Comfortable engaging senior executives and shaping complex commercial discussions
- Ability to operate effectively in a matrixed organisation with shared ownership models
- Strong judgment around scalability vs bespoke solutions
- Collaborative leadership style with experience leading and nurturing high-performing teams
- Bachelor's degree required; advanced degree preferred
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
- Abide by Mastercard's security policies and practices;
- Ensure the confidentiality and integrity of the information being accessed;
- Report any suspected information security violation or breach, and
- Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Director, Product Management, Advanced Analytics & AI
Director, Product Management, Advanced Analytics & AI
Mastercard's Services organization is a key growth engine, delivering data-driven insights, analytics, and AI-powered solutions that enable clients to make smarter decisions and achieve better outcomes. Within Services, the Business & Market Insights (BMI) organization builds and commercialises analytics, experimentation, and decisioning products across financial and non-financial industries.
Overview
The Advanced Analytics & AI team applies sophisticated analytics, AI, and Mastercard data assets to solve complex industry problems at scale, working across product, sales, and delivery teams in a matrixed global environment.
The Services team is a key differentiator for Mastercard, providing the cutting-edge services that help our customers make smarter decisions and drive better outcomes. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centred on data-driven technologies and innovation, these services include consulting & innovation services in payments and beyond, data insights and analytics solutions as well as loyalty and marketing programs and platforms.
Within the Services organization, the BMI product organization is focused on creating and delivering superior products for our clients in the area of operational & location insights, business intelligence, analytics and data driven experimentation. This team is accountable for ensuring we are growing our business through thoughtful product road mapping that evolves our solution sets to meet existing and new use cases, influencing global product managers to ensure the solutions in region are effective and partnering with our Business Development and Client Services teams to drive relevant go-to-market solutions for our customers in the region.
Title and Summary
Director, Product Management, Advanced Analytics & AI
Role
This role is responsible for industry-level product management for the Advanced Analytics product line for the Asia Pacific region. This role is responsible for industry-level P&L ownership and growth for Advanced Analytics & AI solutions within the relevant industry portfolio assigned across the Asia Pacific region.
The Director serves as the commercial and strategic owner of the industry portfolio, accountable for revenue growth, client adoption, and value realisation across our suite of multiple data, analytics and AI products. The role partners closely with product-led P&L owners, regional business development and delivery teams, and global product management teams to maximise total portfolio performance.
The role reports to the Vice President, Product Management, Advanced Analytics (Asia Pacific).
Key Responsibilities
Industry P&L Ownership & Growth
- Own revenue, growth targets, and commercial performance for Advanced Analytics within the relevant industries assigned across APAC
- Shape industry-specific growth strategies leveraging the full Advanced Analytics & AI product portfolio
- Balance short-term commercial outcomes with long-term scalability and margin discipline
Client & Market Leadership
- Act as the senior industry lead for Advanced Analytics & AI, engaging senior executive-level stakeholders
- Drive solution positioning, value articulation, and deal shaping for complex client opportunities
- Identify unmet industry needs and translate them into scalable analytics opportunities
Portfolio Commercialisation
- Partner with product-led P&L owners to adapt and commercialise analytics products for industry-specific use cases
- Prioritise product adoption based on industry economics, client readiness, and revenue potential
- Ensure disciplined use of customisation versus scalable solutions
Go-To-Market & Execution
- Work closely with Business Development, Client Services, and Delivery teams to execute industry GTM plans
- Support pipeline development, large deals, and strategic partnerships
- Oversee delivery quality and client outcomes within the industry portfolio
Strategic Input & Thought Leadership
- Provide structured market feedback to influence product roadmap decisions
- Monitor industry trends, regulatory shifts, and competitive dynamics
- Contribute to industry thought leadership, client events, and external positioning
All About You
- Deep expertise in each the industry verticals within the portfolio under management, including business models, economics, and data-driven decisioning
- Proven experience owning or contributing to P&L management, revenue growth, or commercial portfolios
- Strong background in analytics, AI, strategy consulting, and/or data-driven products
- Comfortable engaging senior executives and shaping complex commercial discussions
- Ability to operate effectively in a matrixed organisation with shared ownership models
- Strong judgment around scalability vs bespoke solutions
- Collaborative leadership style with experience leading and nurturing high-performing teams
- Bachelor's degree required; advanced degree preferred
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
- Abide by Mastercard's security policies and practices;
- Ensure the confidentiality and integrity of the information being accessed;
- Report any suspected information security violation or breach, and
- Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
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6
Job Description
Cloud Consultant, Data Analytics
_corporate_fare_ Google _place_ Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
**Advanced**
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 7 years of experience in a client facing, technical consulting, or technical support role.
+ Experience with cloud data migration.
**Preferred qualifications:**
+ MBA or Master's degree in Computer Science, or a related engineering field.
+ 10 years of experience in technical client services.
+ Experience designing and deploying large -scale distributed data processing systems with one or more technologies such as SQL server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Vertica, Netezza, Teradata, Tableau, or MicroStrategy.
+ Experience with reading software code in one or more languages such as Java, JavaScript, Python.
+ Knowledge of AI/ML, Generative AI.
+ Excellent communication, presentation, and problem-solving skills.
**About the job**
The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Cloud Consultant for Big Data and Analytics, you will work with customers on critical projects to help them transform their businesses. You will provide management, consulting, and technical capabilities to customer engagements while working with customer executives and key technical leaders to deploy solutions via Google Cloud Platform. You will also work with key partners, serving accounts to manage programs, deliver consulting services, and provide technical guidance and best practice expertise.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
**Responsibilities**
+ Manage and deliver successful implementations of cloud solutions, in collaboration with customer technical leads, client executives, and partners. Act as a trusted advisor to decision makers throughout the engagement.
+ Propose solution architectures and manage the deployment of cloud based data and analytics solutions, according to complex customer requirements and implementation best practices.
+ Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on your field experience.
+ Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks or issues, and timelines for successful client outcomes.
+ Work with internal specialists, Product, and Engineering teams to package best practices and lessons learned into thought leadership, methodologies, and published assets.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
_corporate_fare_ Google _place_ Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
**Advanced**
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 7 years of experience in a client facing, technical consulting, or technical support role.
+ Experience with cloud data migration.
**Preferred qualifications:**
+ MBA or Master's degree in Computer Science, or a related engineering field.
+ 10 years of experience in technical client services.
+ Experience designing and deploying large -scale distributed data processing systems with one or more technologies such as SQL server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Vertica, Netezza, Teradata, Tableau, or MicroStrategy.
+ Experience with reading software code in one or more languages such as Java, JavaScript, Python.
+ Knowledge of AI/ML, Generative AI.
+ Excellent communication, presentation, and problem-solving skills.
**About the job**
The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Cloud Consultant for Big Data and Analytics, you will work with customers on critical projects to help them transform their businesses. You will provide management, consulting, and technical capabilities to customer engagements while working with customer executives and key technical leaders to deploy solutions via Google Cloud Platform. You will also work with key partners, serving accounts to manage programs, deliver consulting services, and provide technical guidance and best practice expertise.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
**Responsibilities**
+ Manage and deliver successful implementations of cloud solutions, in collaboration with customer technical leads, client executives, and partners. Act as a trusted advisor to decision makers throughout the engagement.
+ Propose solution architectures and manage the deployment of cloud based data and analytics solutions, according to complex customer requirements and implementation best practices.
+ Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on your field experience.
+ Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks or issues, and timelines for successful client outcomes.
+ Work with internal specialists, Product, and Engineering teams to package best practices and lessons learned into thought leadership, methodologies, and published assets.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Is this job a match or a miss?
Apply Now
7
Job Description
**Company Description**
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
**Job Description**
We are seeking an experienced Engineer to join the Data Analytics Engineering team responsible for building next-generation data platforms, AI-enabled solutions, and manufacturing analytics products.
This role will focus on designing scalable data architectures, developing enterprise-grade data pipelines, enabling AI/ML workloads, and accelerating digital transformation across manufacturing operations.
The ideal candidate combines strong data engineering expertise with practical experience in cloud platforms, big data technologies, and AI solution deployment.
Key Responsibilities:
+ Build scalable data pipelines, data products, and cloud-based data platforms.
+ Enable AI, Machine Learning, and Generative AI solutions through robust data engineering.
+ Develop analytics, dashboards, and self-service data solutions for business users.
+ Ensure data quality, governance, security, and operational excellence.
+ Partner with stakeholders to solve business challenges using data and AI.
**Qualifications**
**Required:**
+ Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, Engineering, or related field, with 3-5 years of experience in Data Engineering, Analytics Engineering, or Data Platform development.
+ Knowledge of cloud data technologies (Azure/AWS) and big data processing frameworks.
+ Strong analytical, problem-solving, and communication skills.
+ Strong programming skills in Python and SQL with proven experience building and maintaining ETL/ELT pipelines.
**Preferred:**
+ Experience with Databricks, Spark, Delta Lake, or Lakehouse architecture.
+ Experience with AI/ML, Generative AI, or MLOps solutions.
+ Experience in manufacturing, semiconductor, or industrial analytics environments.
**Skills :**
+ Python, SQL, ETL/ELT, and Data Engineering
+ Databricks, Spark, Delta Lake
+ Azure/AWS Cloud Data Platforms
+ AI/ML, Generative AI, and MLOps
+ Data Governance, and Data Quality
+ Analytics Dashboard Development (Power BI/Tableau
**Additional Information**
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at ( ) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
**NOTICE TO CANDIDATES:** Sandisk has received reports of scams where a payment is requested on Sandisk's behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline ( or email
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
**Job Description**
We are seeking an experienced Engineer to join the Data Analytics Engineering team responsible for building next-generation data platforms, AI-enabled solutions, and manufacturing analytics products.
This role will focus on designing scalable data architectures, developing enterprise-grade data pipelines, enabling AI/ML workloads, and accelerating digital transformation across manufacturing operations.
The ideal candidate combines strong data engineering expertise with practical experience in cloud platforms, big data technologies, and AI solution deployment.
Key Responsibilities:
+ Build scalable data pipelines, data products, and cloud-based data platforms.
+ Enable AI, Machine Learning, and Generative AI solutions through robust data engineering.
+ Develop analytics, dashboards, and self-service data solutions for business users.
+ Ensure data quality, governance, security, and operational excellence.
+ Partner with stakeholders to solve business challenges using data and AI.
**Qualifications**
**Required:**
+ Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, Engineering, or related field, with 3-5 years of experience in Data Engineering, Analytics Engineering, or Data Platform development.
+ Knowledge of cloud data technologies (Azure/AWS) and big data processing frameworks.
+ Strong analytical, problem-solving, and communication skills.
+ Strong programming skills in Python and SQL with proven experience building and maintaining ETL/ELT pipelines.
**Preferred:**
+ Experience with Databricks, Spark, Delta Lake, or Lakehouse architecture.
+ Experience with AI/ML, Generative AI, or MLOps solutions.
+ Experience in manufacturing, semiconductor, or industrial analytics environments.
**Skills :**
+ Python, SQL, ETL/ELT, and Data Engineering
+ Databricks, Spark, Delta Lake
+ Azure/AWS Cloud Data Platforms
+ AI/ML, Generative AI, and MLOps
+ Data Governance, and Data Quality
+ Analytics Dashboard Development (Power BI/Tableau
**Additional Information**
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at ( ) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
**NOTICE TO CANDIDATES:** Sandisk has received reports of scams where a payment is requested on Sandisk's behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline ( or email
Is this job a match or a miss?
Apply Now
8
Job Description
**Core job responsibilities:**
**Role Overview**
This role is ideal for students who are passionate about data analysis, Power BI dashboard creation, and operational performance improvement.
The intern will work closely with the Service, Finance, Logistics, and Commercial teams, using real operational and service data to deliver meaningful insights and support data‑driven decision‑making.
**Key Responsibilities**
Power BI Dashboard Development & Data Analysis
+ Develop and maintain Power BI dashboards to visualize service operations, inventory, and revenue data.
+ Create interactive dashboards to track key service KPIs, including:
+ Ticket response and closure timelines (e.g. opened within 24 hours, closed within 7 days)
+ Downtime and service operational performance
+ Service sales, billing status, and revenue trends
+ Perform data preparation and cleansing to ensure data quality and consistency.
+ Translate raw datasets into clear, structured, and actionable visual insights for service management.
+ Support recurring reports and ad‑hoc data analysis requests.
**Service Operations Analysis**
+ Support analysis of service performance data to identify operational gaps and improvement opportunities.
+ Collaborate with cross‑functional teams (Finance, Logistics) to align dashboards with business needs.
+ Assist in standardizing service reporting metrics across regions.
**Inventory & Spare Parts Analytics**
+ Support end‑to‑end spare parts delivery tracking and inventory reporting.
+ Assist with analytics related to:
+ Spare parts demand trends and forecasting
+ Inventory value and Days on Hand (DOH)
+ Stock count tracking and variance reporting
+ Develop Power BI visuals to support inventory optimization while minimizing service disruptions.
**Service Revenue & Billing Support**
+ Assist in service revenue tracking and analysis, including service contracts, Time & Materials (T&M), and spare parts sales.
+ Support monitoring of billing timelines to ensure revenue is billed on time.
+ Use SAP‑extracted data to support service billing and revenue reporting.
+ Provide data insights to support identification of service sales opportunities.
+ Assist in ad‑hoc billing and service P&L analysis.
**Internship Learning Outcomes**
By the end of the internship, you will gain:
+ Hands‑on experience building Power BI dashboards used by a service organization
+ Practical exposure to service operations, inventory analytics, and revenue reporting
+ Experience working with SAP‑based operational data
+ Strong foundation in data‑driven decision‑making in a regional service environment
**Education and experience** **:** (indicate minimum and why it is required):
**Preferred Qualifications**
+ Undergraduate or diploma student in Data Analytics, Business, Engineering, Information Systems, or related disciplines
+ Strong interest in data analytics, visualization, and operational improvement
+ Analytical mindset with attention to detail
+ Willingness to learn enterprise systems and service business processes
+ Good communication and teamwork skills
**Power BI & Data Skills - Required / Preferred**
Required (Foundational Level)
+ Basic to intermediate experience with Power BI Desktop
+ Ability to:
+ Build dashboards using tables, charts, matrices, slicers, and filters
+ Import and combine data from Excel and CSV files
+ Create basic calculated fields and measures
+ Understanding of data visualization best practices (clarity, usability, KPI focus)
+ Strong proficiency in Microsoft Excel (pivot tables, formulas, data cleaning)
An Equal Opportunity Employer
Abbot welcomes and encourages diversity in our workforce.
We provide reasonable accommodation to qualified individuals with disabilities.
To request accommodation, please call or email
**Role Overview**
This role is ideal for students who are passionate about data analysis, Power BI dashboard creation, and operational performance improvement.
The intern will work closely with the Service, Finance, Logistics, and Commercial teams, using real operational and service data to deliver meaningful insights and support data‑driven decision‑making.
**Key Responsibilities**
Power BI Dashboard Development & Data Analysis
+ Develop and maintain Power BI dashboards to visualize service operations, inventory, and revenue data.
+ Create interactive dashboards to track key service KPIs, including:
+ Ticket response and closure timelines (e.g. opened within 24 hours, closed within 7 days)
+ Downtime and service operational performance
+ Service sales, billing status, and revenue trends
+ Perform data preparation and cleansing to ensure data quality and consistency.
+ Translate raw datasets into clear, structured, and actionable visual insights for service management.
+ Support recurring reports and ad‑hoc data analysis requests.
**Service Operations Analysis**
+ Support analysis of service performance data to identify operational gaps and improvement opportunities.
+ Collaborate with cross‑functional teams (Finance, Logistics) to align dashboards with business needs.
+ Assist in standardizing service reporting metrics across regions.
**Inventory & Spare Parts Analytics**
+ Support end‑to‑end spare parts delivery tracking and inventory reporting.
+ Assist with analytics related to:
+ Spare parts demand trends and forecasting
+ Inventory value and Days on Hand (DOH)
+ Stock count tracking and variance reporting
+ Develop Power BI visuals to support inventory optimization while minimizing service disruptions.
**Service Revenue & Billing Support**
+ Assist in service revenue tracking and analysis, including service contracts, Time & Materials (T&M), and spare parts sales.
+ Support monitoring of billing timelines to ensure revenue is billed on time.
+ Use SAP‑extracted data to support service billing and revenue reporting.
+ Provide data insights to support identification of service sales opportunities.
+ Assist in ad‑hoc billing and service P&L analysis.
**Internship Learning Outcomes**
By the end of the internship, you will gain:
+ Hands‑on experience building Power BI dashboards used by a service organization
+ Practical exposure to service operations, inventory analytics, and revenue reporting
+ Experience working with SAP‑based operational data
+ Strong foundation in data‑driven decision‑making in a regional service environment
**Education and experience** **:** (indicate minimum and why it is required):
**Preferred Qualifications**
+ Undergraduate or diploma student in Data Analytics, Business, Engineering, Information Systems, or related disciplines
+ Strong interest in data analytics, visualization, and operational improvement
+ Analytical mindset with attention to detail
+ Willingness to learn enterprise systems and service business processes
+ Good communication and teamwork skills
**Power BI & Data Skills - Required / Preferred**
Required (Foundational Level)
+ Basic to intermediate experience with Power BI Desktop
+ Ability to:
+ Build dashboards using tables, charts, matrices, slicers, and filters
+ Import and combine data from Excel and CSV files
+ Create basic calculated fields and measures
+ Understanding of data visualization best practices (clarity, usability, KPI focus)
+ Strong proficiency in Microsoft Excel (pivot tables, formulas, data cleaning)
An Equal Opportunity Employer
Abbot welcomes and encourages diversity in our workforce.
We provide reasonable accommodation to qualified individuals with disabilities.
To request accommodation, please call or email
Is this job a match or a miss?
Apply Now
9