126 Big Data Analytics jobs in Malaysia

• Analyze business data to interpret business reports, trends and provide suggestions for Management and Head of Department (HOD)
• Drive data remediation projects with existing team.
• Using data driven approach to identify business drivers which can lead to revenue growth and increased profitability.
• Develop visualization and presentation for dissemination of analytical results and derivation of actionable insights.
• Define and optimize marketing automation strategy and build customer segments to facilitate marketing targeting.
• Perform root cause analysis, fix data quality issues and provide ongoing reports.
• Create and maintain optimal data pipeline architecture including assembling large complex data sets to be ready for data analytics.
• Manage database and CRM data, solving any problem during analysis and implementation with Japan Headquarter and HOD.
• Communicate report findings/business insights to business stakeholders through meaningful dashboard/data visualization tools.
• Coordinate with different functional teams to implement models, while monitoring and analyzing model performance and data accuracy.
• Work collaboratively with key departments and Manager in delivering high quality analytics support to management and other stakeholders using statistical and analytical skills and tools.
• Ensure initiatives are aligned with policies and standard operating protocols.

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Responsibilities

As a Data Analysis Specialist I you will responsible for projects and acts as a liaison between the Business and the application development teams. She/He contributes to the different phases of the application life cycle, such as data modeling, maintenance, support and enhancements. Moreover, the Data Analyst responsibilities consist of:

• Identifying and analyzing business needs
• Conducting requirements gathering, and defining scope and objectives
• Making recommendations for solutions or improvements to business processes that can be accomplished through new technology or alternative uses of existing technology.
• Translating business requirements into application requirements
  
  

Key Responsibilities

Business Skills

• Ability to rapidly assimilate information and processes related to one or several tracks within the Data & Analytics
• Capacity to understand, analyze and depict high level architecture or solutions to turn data to insight.
• Knowledge and experience in gathering requirements, functional design, testing and working with business processes.
• Understanding of how IT affects an organization and ability to link it to redesigned business processes.
  
  

Technical Skills

• Utilize data analysis tools and programming languages (e.g., SQL) to manipulate and analyze data.
• Develop and maintain dashboards, reports, and data visualizations.
  
  

Project Management Skills

• Assist in project planning and coordination for data analysis initiatives.
• Track and report on project progress, ensuring that timelines and objectives are met.
  
  

Interpersonal Skills

Data Analyst, Analyst II is an individual contributor is responsible for tasks within a specific domain, focusing on their individual work:

• Networks with other PPG Analysts to understand how IT solutions are deployed in other areas to solve business problems.
• Foster and maintain good relationships with customers and IT colleagues to meet expected customer service levels.
• Share responsibility with other team members to ensure on-time product delivery, which require a clear understanding of expectations and capabilities as well as the ability to act effectively as a team member.
  
  

Qualifications

• Bachelor's Degree, Post Graduate Diploma, Professional Degree, Computer Science/Information Technology or equivalent.
• 0-2 years of IT or a related discipline experience. Outstanding fresh graduates are welcome.
• Analytical and conceptual skills
• Strong oral and written communication skills, including technical writing.
• Must have a strong systems and process orientation.
• Must be comfortable working remotely and lack of face-to-face time with colleagues and managers.
  
  

PPG pay ranges and benefits can vary by location which allows us to compensate employees competitively in different geographic markets. PPG considers several factors in making compensation decisions including, but not limited to, skill sets, experience and training, qualifications and education, licensure and certifications, and other organizational needs. Other incentives may apply.

Our employee benefits programs are designed to support the health and well-being of our employees. Any insurance coverages and benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.

About Us

Here at PPG we make it happen, and we seek candidates of the highest integrity and professionalism who share our values, with the commitment and drive to strive today to do better than yesterday – everyday.

PPG: WE PROTECT AND BEAUTIFY THE WORLD

Through leadership in innovation, sustainability and color, PPG helps customers in industrial, transportation, consumer products, and construction markets and aftermarkets to enhance more surfaces in more ways than does any other company. To learn more, visit and follow @ PPG on Twitter.

The PPG Way

Every Single Day At PPG

We partner with customers to create mutual value.

We are “One PPG” to the world.

We trust our people every day, in every way.

We make it happen.

We run it like we own it.

We do better today than yesterday – everyday.

PPG provides equal opportunity to all candidates and employees. We offer an opportunity to grow and develop your career in an environment that provides a fulfilling workplace for employees, creates an environment for continuous learning, and embraces the ideas and diversity of others. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, color, creed, religion, national origin, age, disability status, marital status, sexual orientation, gender identity or expression. If you need assistance to complete your application due to a disability, please email

PPG values your feedback on our recruiting process. We encourage you to visit Glassdoor.com and provide feedback on the process, so that we can do better today than yesterday.

Benefits will be discussed with you by your recruiter during the hiring process. #J-18808-Ljbffr

Data Science & Analytics, Senior Specialist page is loadedData Science & Analytics, Senior Specialist Apply locations Petaling Jaya (First Avenue) time type Full time posted on Posted 8 Days Ago time left to apply End Date: November 30, 2025 (30+ days left to apply) job requisition id R-2025-05-101471

Get To Know Our GX Bank Team

GX Bank Berhad - the Grab-led Digital Bank - is the FIRST digital bank in Malaysia, approved by BNM to commence operations. We aim to leverage technology and innovation to serve the financial needs of the unserved and underserved individuals, and micro and small medium enterprises.

We are driven by our shared purpose and passion to bring positive transformation to the banking industry, starting with solutions that address the financial struggles of Malaysians and businesses.

Get To Know The Role

• Create and execute the data science & analytics approach in a startup atmosphere to support the business goals and objectives with commercial value of work prioritization and execution, which will deliver actionable insights for business planning and execution.

• Develop and deploy analytical solutions, data science models and/or analytics insights for management and business teams across the Digibank's regional footprint to make informed business decisions, across a variety of business functions, including, but not limited to: customer acquisition, customer retention, product development, pricing decisions, credit risk, fraud identification and many other business needs within the Digibank for both retail and wholesale banking customers.

• Uncover and deliver actionable insights, trends and product recommendations to support the business, through deep dive analysis and advanced visualization techniques.

• Conduct both historical and predictive analyses and convert into digestible, readable, and publicly-available insights.

• Design and develop Generative AI solutions by leveraging generative AI techniques to create new content, automate processes, and develop innovative products that offer added value to our customers, boost productivity and operational efficiency.

• Manage and own the entire end-to-end MLOps life cycle includes data exploration, training data, feature engineering, model development, validation, scoring, codes standardization, unit testing, deployment via API and model maintenance.

• Interface with business, risk & operation teams across the countries within the region to formulate solutions & product changes informed by your findings and business inputs/reality.

• Being the analytics technical expert with hands-on experiences who uses large datasets, creative and strong in applying varieties of Generative AI, machine learning methodologies / algorithms with different data tools in developing the models, running simulations & optimization.

• Being an analytics consultant for the business stakeholders to recommend and deliver both innovative and effective analytics solutions in driving continuous improvements and addressing business questions.

• Engineer predictive features from internal data assets to build refined customer profiles.

• Identify external data assets to bring into the model mix.

• Ensure high quality models and seamless integration, which includes model accuracy, automated quality checks, API latencies, deployment time etc.

• Write SQL scripts for data transformation.

• Ensure data accuracy and good segmentation of data sets for tactical data mining.

• Taking on the responsibilities as a Technical Project Manager to drive projects, by partnering closely with the broader business, operation, product, engineering and marketing teams to define requirements, design and analyze experiments that drive key product designs and marketing decisions.

• Act as the liaison officer between business units across the countries within the region and Data Engineering team on curating the data to be stored in a database and then used for dashboarding or analytics use cases.

• Thrive on sharing knowledge with others and helping collaborators grow to foster a positive and productive work environment.

• Stay current on cutting edge artificial intelligence (AI) tools and approaches.

The Must Haves

• Significant relevant experience (At least 5 years of experience) in building and deploying Generative AI, machine learning and predictive model solutions on large amounts of data.

• Bachelors or Masters degree in Statistics, Analytics, Economics, Mathematics, Engineering, Computer Science, Applied Mathematics, Statistics, Machine Learning, or a related quantitative field.

• Extensive hands-on experience in coding and modelling skills in Spark, Python, R, SQL, Presto, Hive proficiency

• Deep technical and data science expertise, including experience in the following:

• Analytical methods: statistical modeling (e.g., logistic regression, time series CHAID, PCA), supervised machine learning (e.g., random forests, neural networks), unsupervised learning, design of experiments, segmentation/clustering, text mining, network analysis and graphical modelling, optimization, simulation
• Experience building in-production models, including associated scripting, error handling and documentation

• Experience in cloud platforms like AWS, Azure, GCP etc

• Strong expertise in Generative AI frameworks and models such as GANs, VAEs, GPT, BERT, Claude, DeepSeek etc.

• Proficient in ensuring timely delivery of high quality analytics

• Solid experience in reporting to management in delivering analyses and reports.

• Experience with designing, running and analyzing A/B tests and product experiments with a good understanding of hypothesis testing and the basic principles of Design of Experiment.

• Passionate about solving problems – possesses a relentless need for investigation and data exploration.

• Results and detail-oriented, with strong intuitions on how to solve problems creatively and quickly.

• Ability to distill data and articulate an actionable point of view to non-technical audiences and senior stakeholders using presentations, interactive visualizations, etc.

• Understanding of trade-offs between model performance and business needs.

• Strong business acumen, inherent curiosity about data, stakeholder management and project management skills to prioritize & manage multiple priorities in a fast-paced and multidisciplinary environment

• Highly self-driven, demonstrate critical thinking, team player & fast learner

• Work experience and knowledge of more than one domain is a plus - Risk Analytics, Marketing Analytics, Retail analytics, Fraud analytics etc.

The Nice-To-Haves

• Familiar with Airflow and DAGs to automate and schedule data pipeline tasks and workflows

• Good to have experience on tools such as dbt, Presto, Hive, and Data Visualization platforms like Tableau, Power BI etc

Similar Jobs (2) Lead, Data Science & Analytics locations Petaling Jaya (First Avenue) time type Full time posted on Posted 7 Days Ago time left to apply End Date: October 31, 2025 (30+ days left to apply)Senior Data Engineer locations Petaling Jaya (First Avenue) time type Full time posted on Posted 30+ Days Ago

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Data Science & Analytics, Senior Specialist page is loadedData Science & Analytics, Senior Specialist Apply locations Petaling Jaya (First Avenue) time type Full time posted on Posted 8 Days Ago job requisition id R-2025-05-101471

Get To Know Our GX Bank Team

GX Bank Berhad - the Grab-led Digital Bank - is the FIRST digital bank in Malaysia, approved by BNM to commence operations. We aim to leverage technology and innovation to serve the financial needs of the unserved and underserved individuals, and micro and small medium enterprises.

We are driven by our shared purpose and passion to bring positive transformation to the banking industry, starting with solutions that address the financial struggles of Malaysians and businesses.

Get To Know The Role

• Create and execute the data science & analytics approach in a startup atmosphere to support the business goals and objectives with commercial value of work prioritization and execution, which will deliver actionable insights for business planning and execution.

• Develop and deploy analytical solutions, data science models and/or analytics insights for management and business teams across the Digibank's regional footprint to make informed business decisions, across a variety of business functions, including, but not limited to: customer acquisition, customer retention, product development, pricing decisions, credit risk, fraud identification and many other business needs within the Digibank for both retail and wholesale banking customers.

• Uncover and deliver actionable insights, trends and product recommendations to support the business, through deep dive analysis and advanced visualization techniques.

• Conduct both historical and predictive analyses and convert into digestible, readable, and publicly-available insights.

• Design and develop Generative AI solutions by leveraging generative AI techniques to create new content, automate processes, and develop innovative products that offer added value to our customers, boost productivity and operational efficiency.

• Manage and own the entire end-to-end MLOps life cycle includes data exploration, training data, feature engineering, model development, validation, scoring, codes standardization, unit testing, deployment via API and model maintenance.

• Interface with business, risk & operation teams across the countries within the region to formulate solutions & product changes informed by your findings and business inputs/reality.

• Being the analytics technical expert with hands-on experiences who uses large datasets, creative and strong in applying varieties of Generative AI, machine learning methodologies / algorithms with different data tools in developing the models, running simulations & optimization.

• Being an analytics consultant for the business stakeholders to recommend and deliver both innovative and effective analytics solutions in driving continuous improvements and addressing business questions.

• Engineer predictive features from internal data assets to build refined customer profiles.

• Identify external data assets to bring into the model mix.

• Ensure high quality models and seamless integration, which includes model accuracy, automated quality checks, API latencies, deployment time etc.

• Write SQL scripts for data transformation.

• Ensure data accuracy and good segmentation of data sets for tactical data mining.

• Taking on the responsibilities as a Technical Project Manager to drive projects, by partnering closely with the broader business, operation, product, engineering and marketing teams to define requirements, design and analyze experiments that drive key product designs and marketing decisions.

• Act as the liaison officer between business units across the countries within the region and Data Engineering team on curating the data to be stored in a database and then used for dashboarding or analytics use cases.

• Thrive on sharing knowledge with others and helping collaborators grow to foster a positive and productive work environment.

• Stay current on cutting edge artificial intelligence (AI) tools and approaches.

The Must Haves

• Significant relevant experience (At least 5 years of experience) in building and deploying Generative AI, machine learning and predictive model solutions on large amounts of data.

• Bachelors or Masters degree in Statistics, Analytics, Economics, Mathematics, Engineering, Computer Science, Applied Mathematics, Statistics, Machine Learning, or a related quantitative field.

• Extensive hands-on experience in coding and modelling skills in Spark, Python, R, SQL, Presto, Hive proficiency

• Deep technical and data science expertise, including experience in the following:

• Analytical methods: statistical modeling (e.g., logistic regression, time series CHAID, PCA), supervised machine learning (e.g., random forests, neural networks), unsupervised learning, design of experiments, segmentation/clustering, text mining, network analysis and graphical modelling, optimization, simulation
• Experience building in-production models, including associated scripting, error handling and documentation

• Experience in cloud platforms like AWS, Azure, GCP etc

• Strong expertise in Generative AI frameworks and models such as GANs, VAEs, GPT, BERT, Claude, DeepSeek etc.

• Proficient in ensuring timely delivery of high quality analytics

• Solid experience in reporting to management in delivering analyses and reports.

• Experience with designing, running and analyzing A/B tests and product experiments with a good understanding of hypothesis testing and the basic principles of Design of Experiment.

• Passionate about solving problems – possesses a relentless need for investigation and data exploration.

• Results and detail-oriented, with strong intuitions on how to solve problems creatively and quickly.

• Ability to distill data and articulate an actionable point of view to non-technical audiences and senior stakeholders using presentations, interactive visualizations, etc.

• Understanding of trade-offs between model performance and business needs.

• Strong business acumen, inherent curiosity about data, stakeholder management and project management skills to prioritize & manage multiple priorities in a fast-paced and multidisciplinary environment

• Highly self-driven, demonstrate critical thinking, team player & fast learner

• Work experience and knowledge of more than one domain is a plus - Risk Analytics, Marketing Analytics, Retail analytics, Fraud analytics etc.

The Nice-To-Haves

• Familiar with Airflow and DAGs to automate and schedule data pipeline tasks and workflows

• Good to have experience on tools such as dbt, Presto, Hive, and Data Visualization platforms like Tableau, Power BI etc

Similar Jobs (2) Lead Specialist, Data Science & Analytics locations Petaling Jaya (First Avenue) time type Full time posted on Posted 30+ Days Ago time left to apply End Date: July 31, 2025 (30+ days left to apply)Senior Data Engineer locations Petaling Jaya (First Avenue) time type Full time posted on Posted 30+ Days Ago

GX Bank Berhad (GXBank) is Malaysia’s first digital bank that commenced operation on 1 September 2023. With a workforce of more than 95% Malaysians from both the finance and technology sectors, the bank aims to disrupt the current banking industry with customised innovative solutions that empower Malaysians to be financially resilient and support their financial goals. Powered by Grab, GXBank is a subsidiary of GXS Bank Pte. Ltd., – the digital bank joint venture between Grab Holdings Limited and Singapore Telecommunications Limited (Singtel) – and a consortium of other Malaysian investors, including Kuok Group.

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About us

With a product portfolio of over 120 optical glasses, ceramic converters, high-precision optical components and wafers, SCHOTT's business unit Advanced Optics develops customized solutions for applications in optics, lithography, astronomy, opto-electronics, life sciences, research, and more.

Beyond that, we are serving augmented reality innovators worldwide as the leading provider of waveguide materials, leveraging our international production network and engineering hubs in Germany, Switzerland, China, and Malaysia to enable the emerging Metaverse. As we are fully committed to bringing augmented reality technology to the public, we are currently expanding our manufacturing capacity in Malaysia.

You want to be part of it? Then apply now.

Your Contribution

• To ensure that data-driven decisions are possible to improve product quality, performance, and cost during the product development and NPI phase.
• Set up automated data acquisition and data extraction.
• Develop tools to verify data integrity.
• Responsible for continuous data quality improvements.
• In charge of data mining and data analytics.
• Develop data science solutions using statistical and machine learning techniques.
• Apply statistical methods to detect anomalies, trends, and shifts.

Your Profile

• BSc/MSC/Ph.D Degree in Mathematics, Computer Science, Information Technology, Physics, or Engineering.
• At least 5 years of experience in the field of data analytics, data mining.
• Technical expert in data analytics and data mining.
• Proficient in Python and SQL languages.
• Experienced with statistical modeling and data mining techniques.
• Strong problem-solving skills with the ability to multi-task and manage multiple projects simultaneously.

Your Benefits

SCHOTT’s openness to promote your further development is just as great as our additional benefits. Ranging from active health management via flexible working hours and hybrid work all the way to corporate pension plans: everything geared to suit your goals and needs. Discover a special corporate culture where everyone has the opportunity to develop their entire potential.

At SCHOTT, you can expect a unique corporate culture where we emphasize equity, diversity, and inclusion. We know: motivated and committed employees are the precondition for the success of our company.

Multiple career opportunities; Medical, Dental, and Vision coverage; Talent development; Team Events.

Contact Us

Please feel free to contact us. You can expect interesting tasks and challenging projects, as well as motivated and friendly teams in fields that influence our future. Do you want to be successful with us? Then, please send us your application: SCHOTT Glass (Malaysia) Sdn. Bhd., Human Resources, Wendy Wang +86512680959896101.

*At SCHOTT, it’s your personality that counts – not your gender, identity, or origin.

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Company Description

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View(TM).

Job Description

About the job

As the world's largest research organization, Nielsen IQ is powered by talented creative scientists. Our Data Scientist Business Leaders come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics and demography. These professionals drive innovation, new product ideation, develops complex analysis and delivery of data insights to measure what consumers buy.

Responsibilities

• Own Data Science solutions for client requests and provide initial recommendations for complex client raised issues.
• Support Internal and External Clients with the understanding of Data Science design and methodology.
• Accompanied senior leaders meet with clients to understand business needs and help offer innovative solutions.
• Work on creating new solutions use cases, proof of concept and prototypes by exploring diverse data sets using tools such as python/r.
• Understand Nielsen products and services to suggest new solutions for client challenges.
• Collaborate with other Data Science team units.
• Automate and develop solutions for existing processes.
• Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies.

Qualifications

About you

You’ve dabbled in data. You’ve perused Python. And you have the communication chops to translate it all into conversation or presentations. While you’ve worked with global cross-functional teams, you can also put your head down and focus on independent projects. Seeing the big picture takes attention to detail. You know what’s happening in big data and you’re ready to influence what’s next.

Qualifications

• Professionals with degrees in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets.
• 5+ years of experience in market research or relevant field
• Solid understanding of CPG/FMCG Industry and Retail market impact on client’s business within the market.
• Passionate about innovation and technology
• Experienced connecting with stakeholders and clients proactively, finding ways to link client's needs with the business.
• Innovative mindset, creativity, thinking out-of-the-box.
• Good ability to effectively convey complex concepts to non-experts.
• Strong Problem-Solving skills
• Intellectual curiosity and persistence to find answers to questions.
• Great collaborative and interpersonal skills to communicate at all levels.
• Ability to set priorities.
• Good leadership and people manager’s skills
• Business acumen, consultative skills and empathy for clients.
• Great command of written and spoken English
• Eager to continuously learn and adapt to changing technologies and tools.
• Good ability to make decisions and successfully manage multiple assignments concurrently in a high-pressure environment.
  • Analytical and Technical skills:
  • Solid understanding of Statistics
  • Strong aptitude for data analysis.
  • Solid critical/ logic thinking.
  • Business acumen, finance and budgeting knowledge
  • Experienced in data visualization tools (e.g: Power BI, Spotfire, Tableau)
  • Experienced with programming languages such as Python and R.

Good to Have

• Familiar with Nielsen systems/products. (for internal-it is required)
• Familiar with Machine Learning
• Working knowledge with data visualization tools (e.g., Spotfire, Tableau, etc) and mapping tools.
• Working experience with contemporary database systems.
• Familiarity with marketing analytics, including designing experiment and consumer behavior analysis.
• Familiar with Project Management .
• Experience in leading people will be added advantage.

Additional Information

• Exciting work environment that brings people together.
• Use the latest digital technologies.
• Ongoing trainings to support your development.
• Opportunities for personal and professional growth.
• Hybrid work

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

Want to keep up with our latest updates?

Follow us on:LinkedIn |Instagram |Twitter |Facebook

Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center:

#J-18808-Ljbffr

Company Description

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View(TM).

Job Description

• Own Data Science solutions for client requests and provide initial recommendations for complex client raised issues.
• Support Internal and External Clients with the understanding of Data Science design and methodology.
• Accompanied senior leaders meet with clients to understand business needs and help offer innovative solutions.
• Work on creating new solutions use cases, proof of concept and prototypes by exploring diverse data sets using tools such as Python.
• Understand Nielsen products and services to suggest new solutions for client challenges.
• Collaborate with other Data Science team units.
• Automate and develop solutions for existing processes.
• Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies.

Qualifications

About you

You’ve dabbled in data. You’ve perused Python. And you have the communication chops to translate it all into conversation or presentations. While you’ve worked with global cross-functional teams, you can also put your head down and focus on independent projects. Seeing the big picture takes attention to detail. You know what’s happening in big data and you’re ready to influence what’s next.

Qualifications

• Professionals with degrees (either Bachelor/Master) in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets.
• Fresh grad / 1 year of experience in market research or relevant fields, however, open for fresh graduate.
• Intermediate levels proficiency with Python
• Implementation experiences on automation of processes
• Problem-Solving skills
• Ability to effectively convey complex concepts to non-experts
• Intellectual curiosity and persistence to find answers to questions
• Eager to continuously learn and adapt to changing technologies and tools.
• Good command of written and spoken English.
• Good collaborative and interpersonal skills to communicate at all levels.
• Working knowledge with collaboration tools such as Microsoft Office (Word, Outlook, PowerPoint, Excel, Power BI)

Good to Have

• Knowledge of Machine Learning /Web scrapping
• Working knowledge with data visualization tools (e.g., PowerBi) and mapping tools.
• Up to date with technology and active user of eCommerce platforms
• Familiarity with Atlassian, Git, Bitbucket and Confluence
• Familiarity with marketing analytics, including designing experiments and consumer behavior analysis.

Additional Information

Benefits:

• Exciting work environment that brings people together.

• Use the latest digital technologies.

• Ongoing trainings to support your development.

• Opportunities for personal and professional growth.

• Great compensation linked to individual performance and company results.

• Hybrid work

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

Want to keep up with our latest updates?

Follow us on:LinkedIn |Instagram |Twitter |Facebook

Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center:

#J-18808-Ljbffr

About us With a product portfolio of over 120 optical glasses, ceramic converters, high-precision optical components and wafers, SCHOTT's business unit Advanced Optics develops customized solutions for applications in optics, lithography, astronomy, opto-electronics, life sciences, research, and more. Beyond that, we are serving augmented reality innovators worldwide as the leading provider of waveguide materials, leveraging our international production network and engineering hubs in Germany, Switzerland, China, and Malaysia to enable the emerging Metaverse. As we are fully committed to bringing augmented reality technology to the public, we are currently expanding our manufacturing capacity in Malaysia. You want to be part of it? Then apply now. Your Contribution

To ensure that data-driven decisions are possible to improve product quality, performance, and cost during the product development and NPI phase. Set up automated data acquisition and data extraction. Develop tools to verify data integrity. Responsible for continuous data quality improvements. In charge of data mining and data analytics. Develop data science solutions using statistical and machine learning techniques. Apply statistical methods to detect anomalies, trends, and shifts. Your Profile

BSc/MSC/Ph.D Degree in Mathematics, Computer Science, Information Technology, Physics, or Engineering. At least 5 years of experience in the field of data analytics, data mining. Technical expert in data analytics and data mining. Proficient in Python and SQL languages. Experienced with statistical modeling and data mining techniques. Strong problem-solving skills with the ability to multi-task and manage multiple projects simultaneously. Your Benefits

SCHOTT’s openness to promote your further development is just as great as our additional benefits. Ranging from active health management via flexible working hours and hybrid work all the way to corporate pension plans: everything geared to suit your goals and needs. Discover a special corporate culture where everyone has the opportunity to develop their entire potential. At SCHOTT, you can expect a unique corporate culture where we emphasize equity, diversity, and inclusion. We know: motivated and committed employees are the precondition for the success of our company. Multiple career opportunities; Medical, Dental, and Vision coverage; Talent development; Team Events. Contact Us

Please feel free to contact us. You can expect interesting tasks and challenging projects, as well as motivated and friendly teams in fields that influence our future. Do you want to be successful with us? Then, please send us your application: SCHOTT Glass (Malaysia) Sdn. Bhd., Human Resources, Wendy Wang +86512680959896101. *At SCHOTT, it’s your personality that counts – not your gender, identity, or origin.

#J-18808-Ljbffr

Company Description NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View(TM). Job Description

Own Data Science solutions for client requests and provide initial recommendations for complex client raised issues. Support Internal and External Clients with the understanding of Data Science design and methodology. Accompanied senior leaders meet with clients to understand business needs and help offer innovative solutions. Work on creating new solutions use cases, proof of concept and prototypes by exploring diverse data sets using tools such as Python. Understand Nielsen products and services to suggest new solutions for client challenges. Collaborate with other Data Science team units. Automate and develop solutions for existing processes. Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies. Qualifications

About you You’ve dabbled in data. You’ve perused Python. And you have the communication chops to translate it all into conversation or presentations. While you’ve worked with global cross-functional teams, you can also put your head down and focus on independent projects. Seeing the big picture takes attention to detail. You know what’s happening in big data and you’re ready to influence what’s next. Qualifications Professionals with degrees (either Bachelor/Master) in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets. Fresh grad / 1 year of experience in market research or relevant fields, however, open for fresh graduate. Intermediate levels proficiency with Python Implementation experiences on automation of processes Problem-Solving skills Ability to effectively convey complex concepts to non-experts Intellectual curiosity and persistence to find answers to questions Eager to continuously learn and adapt to changing technologies and tools. Good command of written and spoken English. Good collaborative and interpersonal skills to communicate at all levels. Working knowledge with collaboration tools such as Microsoft Office (Word, Outlook, PowerPoint, Excel, Power BI) Good to Have Knowledge of Machine Learning /Web scrapping Working knowledge with data visualization tools (e.g., PowerBi) and mapping tools. Up to date with technology and active user of eCommerce platforms Familiarity with Atlassian, Git, Bitbucket and Confluence Familiarity with marketing analytics, including designing experiments and consumer behavior analysis. Additional Information

Benefits: • Exciting work environment that brings people together. • Use the latest digital technologies. • Ongoing trainings to support your development. • Opportunities for personal and professional growth. • Great compensation linked to individual performance and company results. • Hybrid work Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: