Explore numerous data analytics opportunities in What Jobs are available for Data Analytics in Kuala Lumpur?
Showing 292 Data Analytics jobs in Kuala Lumpur
Data Analytics
Kuala Lumpur, Kuala Lumpur
Rotate Asia Sdn Bhd
Posted 4 days ago
Job Viewed
Job Description
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At Rotate, we’re building the go-to team for commercial decision‑making tools in the air cargo industry. By combining cutting‑edge software with deep industry and strategy consulting expertise, we help global organizations transform data into actionable insights for smarter, faster decisions.
What you’ll be doing We build data‑driven solutions in collaboration with airlines around the world. Data is the core asset of our business, and data analysts are critical in unlocking the value of market and client data. You will be developing business logic and ensuring that products are insightful and tailored to meet the needs of our clients. There is lots of data to store, many (scheduled) jobs to run and configurations to be dealt with. You use your knowledge of data engineering, cloud, queues, streaming and graphs to work on the backbone of our data infrastructures. Furthermore, you will;
Design, implement and manage data pipelines that ingest vast amounts of data from various sources.
Plan technical solutions and deploy the data architecture using cloud‑based technologies.
Make data available, and execute pipelines and scale sets for data science.
Job requirements What you’ll need A technical/quantitative degree or a similar educational background.
3+ years of experience in extraction, transformation and loading data in a modern data management infrastructure.
Proficiency in Python and SQL.
You are excited about working with the latest technologies in data modelling, data warehousing and cloud technology.
Preferably, you have some knowledge of the Hadoop ecosystem, Databricks and Apache Spark.
You are curious, and proactive and feel at ease in an informal and professional setting where you get a lot of freedom and responsibility.
You feel at ease in cross‑cultural and multi‑disciplinary teams.
You are a resident of Malaysia.
You possess a valid work permit for Malaysia.
Why Work at Rotate We are a team that solves an endless list of complex problems in an exciting industry. Our products are critical to airlines’ commercial decision‑making and are built leveraging the latest technologies. We will tailor your development and career ambitions – ensuring you share in the success.
In addition to excellent compensation, we think you’ll be proud and motivated to build a career at Rotate because you will be able to:
Build things that matter. Solve complex problems in a critical industry. Partner with airlines to co‑develop data‑driven SaaS products with the latest technology stack. Drive efficiency and sustainability in global supply chains.
Write your own story. Feel like an entrepreneur within a well‑funded company and established team. Help us build Rotate and share in our joint success. Partner with us to tailor your development and career ambition.
Live unforgettable experiences. Get exposed to different cultures, go on unforgettable offsites, experience the highs and lows of start‑up life…and if you’re keen, travel the world and eat sushi in Tokyo!
Where is the position located? This role is based in our newly established office in Kuala Lumpur, Malaysia. Our Malaysia office specializes in Software Engineering, Data Engineering, and Data Analysis. You will collaborate with talented tech colleagues.
Unlock job insights AI Job match analysis Salary match Number of applicants
Your application will include the following questions:
Which of the following statements best describes your right to work in Malaysia?
What's your expected monthly basic salary?
Which of the following types of qualifications do you have?
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At Rotate, we’re building the go-to team for commercial decision‑making tools in the air cargo industry. By combining cutting‑edge software with deep industry and strategy consulting expertise, we help global organizations transform data into actionable insights for smarter, faster decisions.
What you’ll be doing We build data‑driven solutions in collaboration with airlines around the world. Data is the core asset of our business, and data analysts are critical in unlocking the value of market and client data. You will be developing business logic and ensuring that products are insightful and tailored to meet the needs of our clients. There is lots of data to store, many (scheduled) jobs to run and configurations to be dealt with. You use your knowledge of data engineering, cloud, queues, streaming and graphs to work on the backbone of our data infrastructures. Furthermore, you will;
Design, implement and manage data pipelines that ingest vast amounts of data from various sources.
Plan technical solutions and deploy the data architecture using cloud‑based technologies.
Make data available, and execute pipelines and scale sets for data science.
Job requirements What you’ll need A technical/quantitative degree or a similar educational background.
3+ years of experience in extraction, transformation and loading data in a modern data management infrastructure.
Proficiency in Python and SQL.
You are excited about working with the latest technologies in data modelling, data warehousing and cloud technology.
Preferably, you have some knowledge of the Hadoop ecosystem, Databricks and Apache Spark.
You are curious, and proactive and feel at ease in an informal and professional setting where you get a lot of freedom and responsibility.
You feel at ease in cross‑cultural and multi‑disciplinary teams.
You are a resident of Malaysia.
You possess a valid work permit for Malaysia.
Why Work at Rotate We are a team that solves an endless list of complex problems in an exciting industry. Our products are critical to airlines’ commercial decision‑making and are built leveraging the latest technologies. We will tailor your development and career ambitions – ensuring you share in the success.
In addition to excellent compensation, we think you’ll be proud and motivated to build a career at Rotate because you will be able to:
Build things that matter. Solve complex problems in a critical industry. Partner with airlines to co‑develop data‑driven SaaS products with the latest technology stack. Drive efficiency and sustainability in global supply chains.
Write your own story. Feel like an entrepreneur within a well‑funded company and established team. Help us build Rotate and share in our joint success. Partner with us to tailor your development and career ambition.
Live unforgettable experiences. Get exposed to different cultures, go on unforgettable offsites, experience the highs and lows of start‑up life…and if you’re keen, travel the world and eat sushi in Tokyo!
Where is the position located? This role is based in our newly established office in Kuala Lumpur, Malaysia. Our Malaysia office specializes in Software Engineering, Data Engineering, and Data Analysis. You will collaborate with talented tech colleagues.
Unlock job insights AI Job match analysis Salary match Number of applicants
Your application will include the following questions:
Which of the following statements best describes your right to work in Malaysia?
What's your expected monthly basic salary?
Which of the following types of qualifications do you have?
#J-18808-Ljbffr
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0
Data Analytics
Kuala Lumpur, Kuala Lumpur
OCBC
Posted 16 days ago
Job Viewed
Job Description
OCBC
is Singapore’s longest established bank, dedicated to enabling individuals and businesses to achieve their aspirations since 1932. Today, we’re on a journey of transformation, leveraging technology and creativity to become a future‑ready learning organisation.
Job Title Data Analyst
– Kuala Lumpur, Malaysia
Responsibilities
Collaborate closely with business units across divisions to identify opportunities and apply advanced analytical techniques, delivering actionable insights that drive strategic decision‑making.
Collaborate with business units and marketing teams to design, execute, and optimize data‑driven campaigns.
Develop and implement advanced statistical and machine learning models to predict customer behavior, segment audiences, and enhance targeting strategies.
Create compelling data visualizations and dashboards using tools such as Tableau, Power BI, or similar platforms to communicate insights clearly to stakeholders.
Manage analytics projects, ensuring timely delivery and alignment with business objectives.
Present findings and recommendations to senior leadership and cross‑functional teams to support strategic decision‑making.
Qualifications
A degree in Computer Science, Statistics, Data Science, or related field.
3+ years of experience in analytics, data science, or related roles.
Strong programming skills in Python, SQL, and SAS.
Experience with data visualisation tools (Power BI, QlikView, Tableau, etc).
Knowledge of direct marketing and customer analytics concepts – such as statistical modelling, customer segmentation, event‑based marketing, campaign management and campaign effectiveness analysis.
Excellent communication skills with the ability to translate complex data insights into actionable business recommendations.
Financial services experience preferred but not essential.
Benefits Competitive base salary and a suite of holistic, flexible benefits to suit every lifestyle. Community initiatives, industry‑leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.
#J-18808-Ljbffr
is Singapore’s longest established bank, dedicated to enabling individuals and businesses to achieve their aspirations since 1932. Today, we’re on a journey of transformation, leveraging technology and creativity to become a future‑ready learning organisation.
Job Title Data Analyst
– Kuala Lumpur, Malaysia
Responsibilities
Collaborate closely with business units across divisions to identify opportunities and apply advanced analytical techniques, delivering actionable insights that drive strategic decision‑making.
Collaborate with business units and marketing teams to design, execute, and optimize data‑driven campaigns.
Develop and implement advanced statistical and machine learning models to predict customer behavior, segment audiences, and enhance targeting strategies.
Create compelling data visualizations and dashboards using tools such as Tableau, Power BI, or similar platforms to communicate insights clearly to stakeholders.
Manage analytics projects, ensuring timely delivery and alignment with business objectives.
Present findings and recommendations to senior leadership and cross‑functional teams to support strategic decision‑making.
Qualifications
A degree in Computer Science, Statistics, Data Science, or related field.
3+ years of experience in analytics, data science, or related roles.
Strong programming skills in Python, SQL, and SAS.
Experience with data visualisation tools (Power BI, QlikView, Tableau, etc).
Knowledge of direct marketing and customer analytics concepts – such as statistical modelling, customer segmentation, event‑based marketing, campaign management and campaign effectiveness analysis.
Excellent communication skills with the ability to translate complex data insights into actionable business recommendations.
Financial services experience preferred but not essential.
Benefits Competitive base salary and a suite of holistic, flexible benefits to suit every lifestyle. Community initiatives, industry‑leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.
#J-18808-Ljbffr
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1
Head, Data Analytics
Kuala Lumpur, Kuala Lumpur
AFFIN Group
Posted today
Job Viewed
Job Description
Create the future with Affin! You too can make a difference. We continuously innovate to transform our financial services landscape - making banking better and easier. Join us at AFFIN, where the open minds meet and be inspired by a shared commitment to great work.
Data Engineering / Data Management Management and delivery of analytics infrastructure focused on data acquisition, data storage, automation allowing capabilities to deliver upon data analysis and data action. This includes but is not limited to management of current databases, data lake and enterprise data hub, data gap identification and capture, internal system integration, text and unstructured data capture and external data collection.
Data Analysis And Modelling Management of end to end campaign leads generation to source leads across all sales channel focusing on acquisition, cross selling and retention including performance tracking. Data modeling and machine learning covering and not limited to response modeling, segmentation, profitability. Generation and maintenance of reliable fast and flexible customer, product portfolio analysis tools including self-service performance dashboards.
Data Monetization Lead the ideation of use cases for the purpose of cost saving, cost avoidance and revenue generation based on development and innovation of data products through collaboration with business units.
People Management Develop, coach and retain strong expert matter teams, building team capability across data analyst, data scientist and data engineers. Build and nurture strong relationship with senior stakeholders across the bank.
Project Management Provide project management expertise and support to business sponsors. Secure and maintain relationships with interdependent project/business area management. Establish and manage appropriate project risk, opportunities, change and issue management procedures.
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Data Engineering / Data Management Management and delivery of analytics infrastructure focused on data acquisition, data storage, automation allowing capabilities to deliver upon data analysis and data action. This includes but is not limited to management of current databases, data lake and enterprise data hub, data gap identification and capture, internal system integration, text and unstructured data capture and external data collection.
Data Analysis And Modelling Management of end to end campaign leads generation to source leads across all sales channel focusing on acquisition, cross selling and retention including performance tracking. Data modeling and machine learning covering and not limited to response modeling, segmentation, profitability. Generation and maintenance of reliable fast and flexible customer, product portfolio analysis tools including self-service performance dashboards.
Data Monetization Lead the ideation of use cases for the purpose of cost saving, cost avoidance and revenue generation based on development and innovation of data products through collaboration with business units.
People Management Develop, coach and retain strong expert matter teams, building team capability across data analyst, data scientist and data engineers. Build and nurture strong relationship with senior stakeholders across the bank.
Project Management Provide project management expertise and support to business sponsors. Secure and maintain relationships with interdependent project/business area management. Establish and manage appropriate project risk, opportunities, change and issue management procedures.
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2
Data Analytics Specialist
Kuala Lumpur, Kuala Lumpur
Businesslist
Posted 1 day ago
Job Viewed
Job Description
Data Analytics Specialist
Posting Date : 29 Oct 2025 |
Close Date : 27 Jan 2026
Job Objective / Summary The Data & Analytics Specialist will drive the transformation of our parquet manufacturing plant into a data‑driven operation by developing high‑quality datasets, creating insightful dashboards, and improving data quality to support strategic and operational decisions. Collaborating with cross‑functional teams, the role focuses on enabling live reporting, fostering a culture of self‑service BI, and ensuring data is accurate, accessible, and actionable. By standardizing processes and promoting data‑driven practices, you will play a key role in enhancing production efficiency and business growth.
Responsibilities
Develop structured datasets and insightful dashboards to support daily and long‑term strategic decisions.
Standardize processes and maintain high data accuracy to ensure reliable reporting and analysis.
Use live reporting (real‑time reports) and analytics tools to identify actionable insights that improve production processes and prevent inefficiencies.
Build datasets that empower stakeholders to create their own reports, reducing reliance on the D&A team.
Work with cross‑functional teams to align data needs and solutions with business goals.
Job Requirements Education & Experience
Minimum of a bachelor’s degree or equivalent; at least 3 years of experience.
Proficient in Bahasa Malaysia and English.
Behavioral Skills
Strong safety mindset, openness to feedback, continuous improvement, entrepreneurial spirit, collaboration, and adaptability.
Critical, solution‑oriented, proactive with curiosity for improving processes.
Clear communicator who listens well and conveys technical information to non‑technical stakeholders.
Organized, detail‑oriented, and committed to data quality.
Technical Skills
Strong analytical skills with the ability to simplify complex datasets for diverse stakeholders.
Experience with BI tools, particularly Microsoft Power BI.
Familiarity with Grafana is a plus.
Affinity for finance‑related data analysis is beneficial.
Work Location
: Penang
Sub Specialization : Information Technology; Business/IT Analyst Type of Employment : Permanent Minimum Experience : 5 Years
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Posting Date : 29 Oct 2025 |
Close Date : 27 Jan 2026
Job Objective / Summary The Data & Analytics Specialist will drive the transformation of our parquet manufacturing plant into a data‑driven operation by developing high‑quality datasets, creating insightful dashboards, and improving data quality to support strategic and operational decisions. Collaborating with cross‑functional teams, the role focuses on enabling live reporting, fostering a culture of self‑service BI, and ensuring data is accurate, accessible, and actionable. By standardizing processes and promoting data‑driven practices, you will play a key role in enhancing production efficiency and business growth.
Responsibilities
Develop structured datasets and insightful dashboards to support daily and long‑term strategic decisions.
Standardize processes and maintain high data accuracy to ensure reliable reporting and analysis.
Use live reporting (real‑time reports) and analytics tools to identify actionable insights that improve production processes and prevent inefficiencies.
Build datasets that empower stakeholders to create their own reports, reducing reliance on the D&A team.
Work with cross‑functional teams to align data needs and solutions with business goals.
Job Requirements Education & Experience
Minimum of a bachelor’s degree or equivalent; at least 3 years of experience.
Proficient in Bahasa Malaysia and English.
Behavioral Skills
Strong safety mindset, openness to feedback, continuous improvement, entrepreneurial spirit, collaboration, and adaptability.
Critical, solution‑oriented, proactive with curiosity for improving processes.
Clear communicator who listens well and conveys technical information to non‑technical stakeholders.
Organized, detail‑oriented, and committed to data quality.
Technical Skills
Strong analytical skills with the ability to simplify complex datasets for diverse stakeholders.
Experience with BI tools, particularly Microsoft Power BI.
Familiarity with Grafana is a plus.
Affinity for finance‑related data analysis is beneficial.
Work Location
: Penang
Sub Specialization : Information Technology; Business/IT Analyst Type of Employment : Permanent Minimum Experience : 5 Years
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3
Manager, Data Analytics
Kuala Lumpur, Kuala Lumpur
Razer Inc.
Posted 9 days ago
Job Viewed
Job Description
Overview
Razer Inc. is hiring for the role of Manager, Data Analytics in Bangsar South, Federal Territory of Kuala Lumpur, Malaysia. Join to apply for the
Manager, Data Analytics
role at
Razer Inc. Responsibilities
Data Analytics Strategy & Execution Develop and execute a comprehensive data analytics strategy to support the company’s business goals. Lead the creation of analytics frameworks and processes to generate insights that inform product development, marketing, and operational efficiency. Ensure that data-driven insights are used to optimize business performance and enhance customer experiences. Team Leadership & Development Manage, mentor, and develop a team of data analysts and data scientists, ensuring continuous improvement in analytical skills and output. Foster a collaborative, data-driven culture within the team and across the organization. Set clear goals and KPIs for the team, providing regular feedback and performance evaluations. Data Tools & Infrastructure Oversee the implementation and use of advanced analytics tools (e.g., SQL, Python, R) and data visualization platforms (e.g., Tableau, Power BI). Collaborate with engineering and IT teams to ensure the data infrastructure supports the organization’s analytics needs, including data collection, integration, and reporting systems. Continuously assess and implement new tools and technologies that enhance data analytics capabilities. Data-Driven Insights & Reporting Develop and maintain reports, dashboards, and visualizations that communicate key business insights to stakeholders at all levels of the organization. Identify trends, patterns, and opportunities from large datasets, and provide actionable recommendations to optimize business operations. Collaborate with business units to define key metrics and ensure that performance is tracked against goals. Collaboration & Stakeholder Management Partner with cross-functional teams including marketing, finance, product, and operations to ensure alignment of analytics initiatives with business objectives. Act as the key point of contact for analytics across the organization, ensuring stakeholders have access to accurate and timely data. Communicate complex data insights in a clear and actionable way to both technical and non-technical stakeholders. Advanced Analytics & Predictive Modeling Lead initiatives that leverage advanced analytics techniques, such as machine learning and predictive modeling, to solve business challenges. Develop models to forecast customer behavior, optimize marketing strategies, and enhance product performance. Ensure continuous improvement in analytics processes and methods to stay ahead of industry trends and best practices. Data Governance & Quality Ensure data accuracy, integrity, and consistency across all analytics platforms and tools. Establish data governance processes to maintain high standards in data quality and ensure compliance with relevant regulations. Work with the data engineering team to enhance data collection and warehousing for more accurate and reliable analytics. Key Qualifications
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field. 5+ years of experience in data analytics or a related field, with at least 2 years in a leadership or management role. Strong proficiency in data analytics tools and languages (e.g., SQL, Python, R) and experience with data visualization tools (e.g., Tableau, Power BI, Looker). Hands-on experience with statistical analysis, data mining, and predictive modeling. Proven ability to manage teams, deliver insights, and work cross-functionally with multiple stakeholders. Excellent communication and presentation skills, with the ability to explain complex data insights to non-technical audiences. Preferred Skills
Experience with cloud data platforms (e.g., AWS, GCP, Azure) and big data technologies. Knowledge of advanced analytics techniques, such as machine learning, AI, and automation. Experience working in (industry-specific knowledge, e.g., fintech, e-commerce, healthcare). Strong business acumen and understanding of how data analytics drives value in business. Pre-Requisites
Are you game? Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries: Computers and Electronics Manufacturing Referrals increase your chances of interviewing at Razer Inc. by 2x Get notified about new Data Manager jobs in Bangsar South, Federal Territory of Kuala Lumpur, Malaysia.
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Razer Inc. is hiring for the role of Manager, Data Analytics in Bangsar South, Federal Territory of Kuala Lumpur, Malaysia. Join to apply for the
Manager, Data Analytics
role at
Razer Inc. Responsibilities
Data Analytics Strategy & Execution Develop and execute a comprehensive data analytics strategy to support the company’s business goals. Lead the creation of analytics frameworks and processes to generate insights that inform product development, marketing, and operational efficiency. Ensure that data-driven insights are used to optimize business performance and enhance customer experiences. Team Leadership & Development Manage, mentor, and develop a team of data analysts and data scientists, ensuring continuous improvement in analytical skills and output. Foster a collaborative, data-driven culture within the team and across the organization. Set clear goals and KPIs for the team, providing regular feedback and performance evaluations. Data Tools & Infrastructure Oversee the implementation and use of advanced analytics tools (e.g., SQL, Python, R) and data visualization platforms (e.g., Tableau, Power BI). Collaborate with engineering and IT teams to ensure the data infrastructure supports the organization’s analytics needs, including data collection, integration, and reporting systems. Continuously assess and implement new tools and technologies that enhance data analytics capabilities. Data-Driven Insights & Reporting Develop and maintain reports, dashboards, and visualizations that communicate key business insights to stakeholders at all levels of the organization. Identify trends, patterns, and opportunities from large datasets, and provide actionable recommendations to optimize business operations. Collaborate with business units to define key metrics and ensure that performance is tracked against goals. Collaboration & Stakeholder Management Partner with cross-functional teams including marketing, finance, product, and operations to ensure alignment of analytics initiatives with business objectives. Act as the key point of contact for analytics across the organization, ensuring stakeholders have access to accurate and timely data. Communicate complex data insights in a clear and actionable way to both technical and non-technical stakeholders. Advanced Analytics & Predictive Modeling Lead initiatives that leverage advanced analytics techniques, such as machine learning and predictive modeling, to solve business challenges. Develop models to forecast customer behavior, optimize marketing strategies, and enhance product performance. Ensure continuous improvement in analytics processes and methods to stay ahead of industry trends and best practices. Data Governance & Quality Ensure data accuracy, integrity, and consistency across all analytics platforms and tools. Establish data governance processes to maintain high standards in data quality and ensure compliance with relevant regulations. Work with the data engineering team to enhance data collection and warehousing for more accurate and reliable analytics. Key Qualifications
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field. 5+ years of experience in data analytics or a related field, with at least 2 years in a leadership or management role. Strong proficiency in data analytics tools and languages (e.g., SQL, Python, R) and experience with data visualization tools (e.g., Tableau, Power BI, Looker). Hands-on experience with statistical analysis, data mining, and predictive modeling. Proven ability to manage teams, deliver insights, and work cross-functionally with multiple stakeholders. Excellent communication and presentation skills, with the ability to explain complex data insights to non-technical audiences. Preferred Skills
Experience with cloud data platforms (e.g., AWS, GCP, Azure) and big data technologies. Knowledge of advanced analytics techniques, such as machine learning, AI, and automation. Experience working in (industry-specific knowledge, e.g., fintech, e-commerce, healthcare). Strong business acumen and understanding of how data analytics drives value in business. Pre-Requisites
Are you game? Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries: Computers and Electronics Manufacturing Referrals increase your chances of interviewing at Razer Inc. by 2x Get notified about new Data Manager jobs in Bangsar South, Federal Territory of Kuala Lumpur, Malaysia.
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4
Data Analytics Lead
Kuala Lumpur, Kuala Lumpur
SEA Gamer Mall Sdn Bhd
Posted 16 days ago
Job Viewed
Job Description
(
Are you ready to turn data into decisions that drive growth, efficiency, and impact? Join our team and work across marketing, product, finance, and operations to make a real difference. What You’ll Do: Translate business questions into actionable analysis. Spot trends early and build predictive models (churn, LTV, demand). Detect potential fraud with risk & payments teams. Present insights clearly and challenge assumptions with data. Collaborate across teams to measure initiative impact and align on KPIs. (Apply now at #J-18808-Ljbffr
Are you ready to turn data into decisions that drive growth, efficiency, and impact? Join our team and work across marketing, product, finance, and operations to make a real difference. What You’ll Do: Translate business questions into actionable analysis. Spot trends early and build predictive models (churn, LTV, demand). Detect potential fraud with risk & payments teams. Present insights clearly and challenge assumptions with data. Collaborate across teams to measure initiative impact and align on KPIs. (Apply now at #J-18808-Ljbffr
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5
Manager, Data Analytics
Kuala Lumpur, Kuala Lumpur
OCBC
Posted 17 days ago
Job Viewed
Job Description
Overview
OCBC Federal Territory of Kuala Lumpur, Malaysia Manager, Data Analytics OCBC Federal Territory of Kuala Lumpur, Malaysia Get AI-powered advice on this job and more exclusive features. Unlock the power of data to drive sales growth and customer satisfaction at OCBC. As a Data Analytics - Sales professional, you'll have the opportunity to turn insights into action, informing sales strategies that meet the evolving needs of our customers. You'll be part of a team that's passionate about using data to make a real impact. Responsibilities
Analyze sales data to identify trends, opportunities, and challenges Develop data-driven insights to inform sales strategies and improve sales performance Collaborate with sales teams to understand their needs and develop targeted solutions Design and implement data visualizations to communicate insights to stakeholders Develop and maintain databases and data systems to support sales analytics Qualifications
A degree in a quantitative field such as mathematics, statistics, or computer science At least 3 years of experience in data analytics, preferably in a sales or marketing context Strong analytical and problem-solving skills, with the ability to communicate complex data insights in a clear and compelling way Experience with data visualization tools such as Tableau or Power BI Strong collaboration and communication skills, with the ability to work effectively with sales teams and other stakeholders Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Analyst and Finance Industries: Banking
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OCBC Federal Territory of Kuala Lumpur, Malaysia Manager, Data Analytics OCBC Federal Territory of Kuala Lumpur, Malaysia Get AI-powered advice on this job and more exclusive features. Unlock the power of data to drive sales growth and customer satisfaction at OCBC. As a Data Analytics - Sales professional, you'll have the opportunity to turn insights into action, informing sales strategies that meet the evolving needs of our customers. You'll be part of a team that's passionate about using data to make a real impact. Responsibilities
Analyze sales data to identify trends, opportunities, and challenges Develop data-driven insights to inform sales strategies and improve sales performance Collaborate with sales teams to understand their needs and develop targeted solutions Design and implement data visualizations to communicate insights to stakeholders Develop and maintain databases and data systems to support sales analytics Qualifications
A degree in a quantitative field such as mathematics, statistics, or computer science At least 3 years of experience in data analytics, preferably in a sales or marketing context Strong analytical and problem-solving skills, with the ability to communicate complex data insights in a clear and compelling way Experience with data visualization tools such as Tableau or Power BI Strong collaboration and communication skills, with the ability to work effectively with sales teams and other stakeholders Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Analyst and Finance Industries: Banking
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6
Data Analytics - DataIKU
Kuala Lumpur, Kuala Lumpur
Businesslist
Posted 17 days ago
Job Viewed
Job Description
Responsibilities
Develop and implement data analytics solutions using DataIKU.
Analyze complex datasets to extract actionable insights for business strategies.
Collaborate with cross-functional teams to identify and address data-related challenges.
Create interactive dashboards and visualizations for stakeholders.
Ensure data accuracy and integrity through thorough validation processes.
Contribute to the continuous improvement of data analytics workflows and tools.
Provide technical guidance and support to team members on DataIKU usage.
Stay updated with the latest trends and advancements in data analytics and technology.
The Successful Applicant
Proficiency in DataIKU and other data analytics tools or platforms.
A strong background in data analysis, data visualization, and data modeling.
Excellent problem-solving skills and attention to detail.
Educational qualifications in a relevant field such as Data Science, Computer Science, or Mathematics.
Ability to work collaboratively in a team-oriented environment.
What’s on Offer
Competitive annual salary in the range of MYR 140,400 to MYR 171,600.
Opportunities to work on cutting-edge technology in the professional services industry.
A permanent role with career growth potential.
A supportive environment that values innovation and learning.
If you're ready to advance your career in data analytics with DataIKU, we encourage you to apply today!
Contact: Azfar Hisyam Job ref: JN- Phone:
#J-18808-Ljbffr
Develop and implement data analytics solutions using DataIKU.
Analyze complex datasets to extract actionable insights for business strategies.
Collaborate with cross-functional teams to identify and address data-related challenges.
Create interactive dashboards and visualizations for stakeholders.
Ensure data accuracy and integrity through thorough validation processes.
Contribute to the continuous improvement of data analytics workflows and tools.
Provide technical guidance and support to team members on DataIKU usage.
Stay updated with the latest trends and advancements in data analytics and technology.
The Successful Applicant
Proficiency in DataIKU and other data analytics tools or platforms.
A strong background in data analysis, data visualization, and data modeling.
Excellent problem-solving skills and attention to detail.
Educational qualifications in a relevant field such as Data Science, Computer Science, or Mathematics.
Ability to work collaboratively in a team-oriented environment.
What’s on Offer
Competitive annual salary in the range of MYR 140,400 to MYR 171,600.
Opportunities to work on cutting-edge technology in the professional services industry.
A permanent role with career growth potential.
A supportive environment that values innovation and learning.
If you're ready to advance your career in data analytics with DataIKU, we encourage you to apply today!
Contact: Azfar Hisyam Job ref: JN- Phone:
#J-18808-Ljbffr
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7
Manager, Data Analytics
Kuala Lumpur, Kuala Lumpur
OCBC
Posted 17 days ago
Job Viewed
Job Description
Data Analytics - Sales - MGR at OCBC
Join to apply for the
Data Analytics - Sales - MGR
role at
OCBC . Who We Are
As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. Today, we’re on a journey of transformation, leveraging technology and creativity to become a future-ready learning organisation with a bold ambition to be Asia’s leading financial services partner for a sustainable future. We invite you to build the bank of the future, innovate the way we deliver financial services, and work in friendly, supportive teams. Your Opportunity Starts Here. This is the broad job description of the job profile. Definitive job description should be reviewed and discussed between you and your manager. What you’ll do
Analyze sales data to identify trends, opportunities, and challenges Develop data-driven insights to inform sales strategies and improve sales performance Collaborate with sales teams to understand their needs and develop targeted solutions Design and implement data visualizations to communicate insights to stakeholders Develop and maintain databases and data systems to support sales analytics Who you are
A degree in a quantitative field such as mathematics, statistics, or computer science At least 3 years of experience in data analytics, preferably in a sales or marketing context Strong analytical and problem-solving skills with the ability to communicate complex data insights clearly Experience with data visualization tools such as Tableau or Power BI Strong collaboration and communication skills to work effectively with sales teams and other stakeholders What we offer
Competitive base salary A suite of holistic, flexible benefits to suit every lifestyle Community initiatives Industry-leading learning and professional development opportunities Your wellbeing, growth and aspirations are cared for as the needs of our customers Seniority level
Mid-Senior level Employment type
Full-time Job function
Sales and Business Development Industries: Banking Note: This description retains the core responsibilities and qualifications from the original posting while removing duplicate boilerplate and formatting issues.
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Data Analytics - Sales - MGR
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OCBC . Who We Are
As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. Today, we’re on a journey of transformation, leveraging technology and creativity to become a future-ready learning organisation with a bold ambition to be Asia’s leading financial services partner for a sustainable future. We invite you to build the bank of the future, innovate the way we deliver financial services, and work in friendly, supportive teams. Your Opportunity Starts Here. This is the broad job description of the job profile. Definitive job description should be reviewed and discussed between you and your manager. What you’ll do
Analyze sales data to identify trends, opportunities, and challenges Develop data-driven insights to inform sales strategies and improve sales performance Collaborate with sales teams to understand their needs and develop targeted solutions Design and implement data visualizations to communicate insights to stakeholders Develop and maintain databases and data systems to support sales analytics Who you are
A degree in a quantitative field such as mathematics, statistics, or computer science At least 3 years of experience in data analytics, preferably in a sales or marketing context Strong analytical and problem-solving skills with the ability to communicate complex data insights clearly Experience with data visualization tools such as Tableau or Power BI Strong collaboration and communication skills to work effectively with sales teams and other stakeholders What we offer
Competitive base salary A suite of holistic, flexible benefits to suit every lifestyle Community initiatives Industry-leading learning and professional development opportunities Your wellbeing, growth and aspirations are cared for as the needs of our customers Seniority level
Mid-Senior level Employment type
Full-time Job function
Sales and Business Development Industries: Banking Note: This description retains the core responsibilities and qualifications from the original posting while removing duplicate boilerplate and formatting issues.
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Head, Data Analytics
Kuala Lumpur, Kuala Lumpur
OCBC
Posted 17 days ago
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Job Description
Overview
Join to apply for the
Head, Data Analytics
role at
OCBC . As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires. Today, we’re on a journey of transformation, leveraging technology and creativity to become a future-ready learning organisation, with the strategic ambition to be Asia’s leading financial services partner for a sustainable future. Your Opportunity Starts Here. Responsibilities
Data-Driven Strategies: Develop and implement data-driven strategies to enhance decision-making processes and drive business growth. Collaborate with senior management to identify key business objectives and align data analytics initiatives accordingly. Foster collaboration with departments across the organization to identify opportunities for data-driven initiatives, ensuring analytics solutions address specific business challenges and contribute to overall growth. Utilize advanced analytics techniques to uncover insights from large datasets and provide actionable recommendations. Establish KPIs and metrics to measure the effectiveness of data analytics initiatives, regularly reporting progress to senior leadership and making data-driven recommendations for improvements. Customer Acquisitions And Cross-Selling: Utilize data analytics to identify potential high-value customers and develop targeted strategies for customer acquisition. Design cross-selling initiatives based on customer behavior and preferences, driving revenue growth. Collaborate with sales and marketing teams to create personalized customer experiences using data-driven insights. Innovation: Lead efforts to innovate data analytics methodologies, tools, and technologies to stay ahead in the rapidly evolving financial industry. Foster a culture of innovation within the data analytics team by encouraging experimentation and creative problem-solving. Identify emerging trends in data analytics and leverage them to create new business opportunities. Data Projects: Oversee end-to-end execution of data projects, including data collection, processing, analysis, and visualization. Manage project timelines, budgets, and resources, ensuring successful delivery of data-driven solutions. Work closely with data engineers and analysts to ensure data quality and integrity throughout project lifecycles. Human Capital: Build and lead a high-performing data analytics team by hiring, mentoring, and developing top talent. Define roles and responsibilities within the team, fostering a collaborative and results-oriented environment. Provide guidance and support for professional growth, skill development, and career progression of team members. Requirements
Minimum of 10-15 years of experience in data analytics and financial services, with at least 3 years in a leadership role. Proven ability to develop and implement a data analytics strategy aligned with the bank's overall goals and objectives. Strong background in data management, statistical analysis, data mining, and machine learning techniques, using tools such as Python, R, SQL, and data visualization tools. Deep understanding of wholesale banking operations, financial products, risk management, and regulatory compliance. Demonstrated leadership in managing and mentoring a diverse team of data analysts, data scientists, and business analysts. Ability to collaborate with senior management, business heads, and IT teams to identify analytics opportunities and translate them into actionable insights. Proven track record of solving complex business challenges using data-driven approaches, and the ability to identify areas for process improvement. Excellent written and verbal communication skills to present findings and recommendations to both technical and non-technical stakeholders. Stay up to date with emerging trends in data analytics, fintech, and banking technology to drive innovation within the analytics function. Familiarity with data privacy regulations and financial industry regulations to ensure compliance in data handling and reporting. What We Offer
Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are cared for as the needs of our customers. Additional Details
Seniority level: Director Employment type: Full-time Job function: Business Development and Sales Industry: Banking
#J-18808-Ljbffr
Join to apply for the
Head, Data Analytics
role at
OCBC . As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires. Today, we’re on a journey of transformation, leveraging technology and creativity to become a future-ready learning organisation, with the strategic ambition to be Asia’s leading financial services partner for a sustainable future. Your Opportunity Starts Here. Responsibilities
Data-Driven Strategies: Develop and implement data-driven strategies to enhance decision-making processes and drive business growth. Collaborate with senior management to identify key business objectives and align data analytics initiatives accordingly. Foster collaboration with departments across the organization to identify opportunities for data-driven initiatives, ensuring analytics solutions address specific business challenges and contribute to overall growth. Utilize advanced analytics techniques to uncover insights from large datasets and provide actionable recommendations. Establish KPIs and metrics to measure the effectiveness of data analytics initiatives, regularly reporting progress to senior leadership and making data-driven recommendations for improvements. Customer Acquisitions And Cross-Selling: Utilize data analytics to identify potential high-value customers and develop targeted strategies for customer acquisition. Design cross-selling initiatives based on customer behavior and preferences, driving revenue growth. Collaborate with sales and marketing teams to create personalized customer experiences using data-driven insights. Innovation: Lead efforts to innovate data analytics methodologies, tools, and technologies to stay ahead in the rapidly evolving financial industry. Foster a culture of innovation within the data analytics team by encouraging experimentation and creative problem-solving. Identify emerging trends in data analytics and leverage them to create new business opportunities. Data Projects: Oversee end-to-end execution of data projects, including data collection, processing, analysis, and visualization. Manage project timelines, budgets, and resources, ensuring successful delivery of data-driven solutions. Work closely with data engineers and analysts to ensure data quality and integrity throughout project lifecycles. Human Capital: Build and lead a high-performing data analytics team by hiring, mentoring, and developing top talent. Define roles and responsibilities within the team, fostering a collaborative and results-oriented environment. Provide guidance and support for professional growth, skill development, and career progression of team members. Requirements
Minimum of 10-15 years of experience in data analytics and financial services, with at least 3 years in a leadership role. Proven ability to develop and implement a data analytics strategy aligned with the bank's overall goals and objectives. Strong background in data management, statistical analysis, data mining, and machine learning techniques, using tools such as Python, R, SQL, and data visualization tools. Deep understanding of wholesale banking operations, financial products, risk management, and regulatory compliance. Demonstrated leadership in managing and mentoring a diverse team of data analysts, data scientists, and business analysts. Ability to collaborate with senior management, business heads, and IT teams to identify analytics opportunities and translate them into actionable insights. Proven track record of solving complex business challenges using data-driven approaches, and the ability to identify areas for process improvement. Excellent written and verbal communication skills to present findings and recommendations to both technical and non-technical stakeholders. Stay up to date with emerging trends in data analytics, fintech, and banking technology to drive innovation within the analytics function. Familiarity with data privacy regulations and financial industry regulations to ensure compliance in data handling and reporting. What We Offer
Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are cared for as the needs of our customers. Additional Details
Seniority level: Director Employment type: Full-time Job function: Business Development and Sales Industry: Banking
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