Total 23 Full-time Senior Executive Big data analyst job vacancies in Malaysia

Role Overview:

The lead is responsible for leading demand forecasting and capacity planning to ensure optimal staffing strategies that support service level targets across all channels.

This role supervises the WFM analyst team, governs the forecasting methodology, and oversees workforce planning deliverables, enabling the WFM Manager to focus on strategic initiatives, stakeholder management, and long-term workforce optimization.

Job Responsibilities:

Forecasting & Capacity Planning

• Lead the development and governance of short-term and mid-term demand forecasts across all service channels (calls, email, chat, etc.).
• Translate forecasted demand into FTE requirements using workforce planning methodologies.
• Develop capacity planning models to determine staffing requirements, resource allocation, and service level feasibility.
• Support annual headcount planning, manpower budgeting, and hiring projections in collaboration with Operations and HR.
• Ensure forecast assumptions, methodology, and planning parameters are consistently applied and documented.

Scheduling Governance & Resource Optimization

• Oversee workforce scheduling frameworks to ensure coverage aligns with forecasted demand and capacity plans.
• Ensure scheduling strategies are aligned with staffing plans, shrinkage assumptions, and operational constraints.
• Guide analysts in implementing strategies to optimise service-level performance and workforce utilization.
• Monitor staffing allocation across functions and channels to support cross-function resource optimisation when required

WFM Team Leadership

• Supervise and guide WFM analysts responsible for forecasting support, scheduling execution, and reporting.
• Review analysts’ outputs, including forecast models, staffing plans, and operational reports.
• Establish structured workflows, ownership, and deliverable timelines within the WFM team.
• Provide coaching to develop analytical and workforce planning capabilities across the team.

WFM Performance Monitoring & Reporting

• Monitor key workforce planning metrics such as Service Level, Forecast Accuracy, Shrinkage, Occupancy, and Staffing Utilization.
• Provide structured insights and analysis to support operational decision-making.
• Maintain reporting frameworks and dashboards (Excel / Power BI) to ensure visibility of workforce performance.

Requirements & Qualifications

• 6-8 years of experience in Workforce Management, Capacity Planning, or Contact Center Operations.
• Minimum 2 years of team leadership or supervisory experience in WFM or operations analytics.
• Strong understanding of contact center forecasting methodologies and capacity planning models.
• Advanced skills in Excel, data analysis, and reporting tools (e.g., Power BI), with working knowledge of DAX and SQL.
• Strong analytical thinking and attention to detail.
• Good communication skills and ability to work collaboratively in a team setting.
• Self-motivated and eager to learn new tools and techniques.
• Able to manage multiple tasks and deadlines independently.
• Comfortable working with large data sets and resolving data inconsistencies.
• Open to Malaysians only

Competencies

• Strong analytical thinking and structured problem-solving ability.
• Ability to translate operational data into workforce planning decisions.
• Strong stakeholder management and communication skills.
• Leadership capability to manage analyst teams and drive operational discipline.

Perks & Benefits

• Nearby public transport
• Central location
• Medical insurance

職位概述：

該負責人負責領導需求預測和產能規劃，以確保最佳的人員配備策略，從而支援所有管道的服務水準目標。

該職位負責監督 WFM 分析師團隊，管理預測方法，並監督勞動力規劃交付成果，使 WFM 經理能夠專注於策略性舉措、利害關係人管理和長期勞動力優化。

工作職責：

預測與產能規劃

• 領導制定和管理所有服務管道（電話、電子郵件、聊天等）的短期和中期需求預測。
• 運用勞動力規劃方法，將預測需求轉化為全職員工（FTE）需求。
• 建立產能規劃模型，以確定人員配備需求、資源分配和服務水準可行性。
• 與營運和人力資源部門合作，支援年度人員編制計劃、人力預算和招聘預測。
• 確保預測假設、方法和規劃參數一致地應用並記錄在案。

調度治理與資源優化

• 監督員工排班框架，確保人員配備與預測的需求和產能計畫相符。
• 確保排班策略與人員配備計畫、人員縮減假設和營運限制一致。
• 指導分析師實施優化服務水準績效和勞動力利用率的策略。
• 監控各職能部門及通路的人員配置狀況，以便在需要時支援跨職能資源最佳化。

WFM團隊領導

• 監督和指導負責預測支援、調度執行和報告的 WFM 分析師。
• 審查分析師的成果，包括預測模型、人員配置計畫和營運報告。
• 在勞動力管理團隊內部建立結構化的工作流程、責任歸屬和交付時間表。
• 為團隊提供指導，以提升其分析能力和人力資源規劃能力。

WFM績效監控與報告

• 監控關鍵的人力資源規劃指標，例如服務水準、預測準確率、人員流失率、入住率和人員利用率。
• 提供結構化的見解和分析，以支援營運決策。
• 維護報表架構和儀表板（Excel / Power BI），以確保員工績效的可見度。

要求和資格

• 6-8 年勞動力管理、產能規劃或呼叫中心營運經驗。
• 至少 2 年 WFM 或營運分析的團隊領導或主管經驗。
• 深入了解呼叫中心預測方法和容量規劃模型。
• 精通 Excel、資料分析和報表工具（例如 Power BI），並具備 DAX 和 SQL 的工作知識。
• 較強的分析思考能力和注重細節。
• 良好的溝通能力和團隊合作能力。
• 自我激勵，渴望學習新工具和技術。
• 能夠獨立管理多項任務並按時完成。
• 能夠熟練處理大型資料集並解決資料不一致問題。
• 僅限馬來西亞公民參加

能力

• 較強的分析思考能力及結構化問題解決能力。
• 能夠將營運數據轉化為勞動力規劃決策。
• 較強的利害關係人管理和溝通能力。
• 具備管理分析師團隊和推動營運紀律的領導能力。

福利待遇

• 附近公共交通
• 中心位置
• 醫療保險

The Role

As a Senior Business Analyst, you will take the lead in conducting complex business analysis and iteration management to ensure successful initiative outcomes. Your responsibilities include crafting detailed documentation of intricate requirements, facilitating high-level communication with stakeholders, and identifying key opportunities for process optimization that align with broader business objectives.

Collaborating closely with cross-functional teams, such as engineers and product owners, you will lead iterative development and refinement processes, enhancing overall project delivery. You will manage risk, support the seamless implementation of solutions, and drive continuous improvement initiatives, ultimately delivering significant business value and contributing to strategic business success.

The Team 

Join the Marketplace Services (MPS) team as we continue our evolution from a service provider into a strategic platform enabler. Our purpose is to provide trustworthy data and shared services across APAC Candidate, Hirer and AI teams so we can deliver long-term customer value. 

Within MPS, the Profile, Apply and Jobs Services (PAJS) team provide shared capabilities that underpin many of SEEK’s core marketplace experiences: how candidates discover roles, create and manage profiles, and apply for jobs, and how hirers create, manage and optimise job ads. These services sit at the heart of SEEK’s Employment Marketplace and are consumed at scale across the group. 

Key responsibilities

• Define scope, objectives, deliverables; validate requirements and capture feedback.
• Lead discovery and documentation: user stories, use cases, process maps (as-is/to-be), acceptance criteria.
• Prioritise and trace requirements to business value; support solution design and validation.
• Plan and run iteration ceremonies: planning, backlog refinement, reviews, retrospectives.
• Manage risks and change; coordinate testing, develop test cases, verify quality.
• Facilitate workshops, align stakeholders, and maintain clear communication.
• Drive continuous improvement; share best practices; mentor juniors.
• Engage vendors as needed; support SLA compliance and onboarding.

The Product Design and Enhancement (PDE) team oversees all design-related activities within the Data Science unit at NIQ, establishing the foundation for Retail Index reporting. The principal duties of the PDE Manager for a specific market include:

• Conducting sample design, universe estimation, and other projects related to the Retail Index.
• Identifying quality risks and coordinating solutions.
• Engaging with stakeholders regarding project scope, execution, data exchange, and outcomes.
• Performing expert-level analysis of results and delivering insightful presentations.
• Collaborating effectively in a virtual multi-country environment, necessitating clear communication with colleagues in various countries.
• Utilizing dedicated software along with ad hoc programming and data mining.
• Identifying opportunities for innovation and tool development in a dynamic work environment.
• Analyzing processes within the scope of responsibilities and providing recommendations for improvements.

Get to Know the Team

At Grab, we empower merchants, advertisers and agencies to connect with our extensive ecosystem and audience through innovative solutions. Our unique platform allows clients to access their target markets effectively, ensuring measurable outcomes. We invite you to join us as we create value for users, drivers, merchants, and advertising partners while striving to improve daily life across Southeast Asia.

Get to Know the Role

Reporting to the Senior Sales Operations Manager, the Sales Ops & Analytics, you will be collaborating with Sales Operations, Commercial, Product Analytics, and Finance to develop and implement strategies and tools for the Sales teams. Your focus will be on promoting and delivering services to Grab's ecosystem. You should be able to both strategize and execute plans alongside the Commercial and Sales Operations Team. In this dynamic environment, you will contribute to sales strategy, customer segmentation, process improvement, and business analytics.

This is a fully onsite role at our Petaling Jaya office.

The Critical Tasks You Will Perform

• You will act as a key partner for the Commercial Country Head and Country Sales Managers in MY/SG.
• You will lead the execution of country market planning and business reviews.
• You will analyze key sales and performance indicators to inform strategic and tactical decisions while ensuring sales forecast accuracy.
• You will support sales teams in monitoring and forecasting against quarterly targets for revenue and other KPIs.
• You will provide market and sales data intelligence to aid the sales team in forming strategic business cases.
• You will partner with sales leadership to define sales strategies and requirements for business systems.
• You will ensure integrity of sales and customer data by advocating proper usage of tools like Salesforce.
• You will coordinate with Regional Operations to enhance sales operations efficiency at the country level.

Job description

Review journal entries to ensure journals booked are validated/ substantiated in accordance to company Journal Policies. Collaborate with GL Analyst in understanding the journal's supporting evidence & approval.
• Support & coordinate HFM related task from region perspective, including error validation, coordinate on half year/year end disclosures per Group timeline.
• Support GL Analyst in rectify issues or enquiries pertaining to GL transactions within the entities supported.
• Organize and host balance sheet review calls with stakeholders (FC, FD, FBP, FP&A, HR, etc) to review & form action plan on aged items >90days and irregular/material open items. This includes challenging on validity of these items.
• Collaborate with stakeholders and sub-module functions (FA, AP, AR, IC, CM) to execute the action plan to clear these items to ensure a clean balance sheet position, escalate to manager or senior leaders if required
• Review month end balance sheet reconciliation file on monthly basis, ensure correct support documentation, reconciling items & action plan entered & completed correctly by the reconciler.
• Understand and ensure compliance with Experian policies and be the first line of defense/ Gatekeeper of the books.
• Provides guidance to team members, advising team on any matters arising from GL process
• Ensure stakeholders queries are attended to and resolved in a timely, responsible and proactive manner
• Ensure GL team key metrics are met & maintained, e.g. reduce aged open items & maintained the quality of month end balance sheet reconciliation file.
• Continuously drive for improvement & streamline processes within General Ledger function.
• Respond/ handle ad-hoc requests/ divestments/ acquisitions in a timely and professional manner

This role covers the activities post inputs are received from the source - retailers/vendors. Primary focus is to be the bridge between the Supplier Engagement team and other Ops pillars. System changes surveys, BAU query resolution, MSD tickets tracking and closure, KPIs reporting, productivity initiatives, RCAs are the key areas of work for this team. Apart from this, the team is also responsible to analyze, classify and management of the data. This role is accountable for handling data queries arising from BAU quality checks (RAP & DQI scoring).

Job Responsibilities

Retailer Onboarding and Engagement:

• Collaborate with the Supplier Engagement Lead on retailer onboarding.
• Ensure compliance for received data by working closely with retailers and NielsenIQ teams.
• Track retailer or vendor data quality and conduct regular reviews with internal stakeholders and retailers.
• Drive specific quality improvement goals for retailers, including change management related to data receipt.
• Handle large data sets with exposure to multiple formats and TLog data.
• Understanding of SAP, transactional data handling, FTP, and MFT setup and maintenance.
•  Ability to extract, transform, load, and clean large data sets from multiple sources.
• Familiarity with managing, querying, and aggregating large data sets.

System Change and Data Corrections:

• Plan and follow up on operational activities.
• Address data corrections due to MSD or other data errors through retailer discussions and planning with Ops.
• Track and resolve MSD tickets.
• Collaborate with INS team on results of eDive for System change.

Stakeholder Management & BAU Collaboration and Communication:

• Act as the internal SPOC for Ops and regional leadership teams.
• Provide updates on KPIs, market progress on retailer onboarding, BAU KPIs, and productivity initiatives. (internal SPOC for Ops)
• Communicate with internal and external stakeholders to resolve data issues.
• Provide timely updates and visibility to stakeholders.
• Contact data providers via email if data has not been received as per SLAs.
• Communicate with data providers on any discrepancies found in initial data checks, FoVa reports, shop usability, or other factory processes.
• Handle new store information and confirmation on store closures.
• Address new stores and closed store queries.
• Coordinate with Input Ops and Output for processing reissued data.
• Send relevant IO communications (internal) regarding new/closed stores, missing retailer data, estimation of retailer data, reissue of retailer data, store name changes, store mapping corrections, retailer expansion, and retailer data changes during BAU.

Quality Assurance:

• Conduct quality checks, including eDive primary testing of data, and RAP scoring, eDive.
• Address data queries arising from quality checks.

Opportunity Identification:

• Identify new operational efficient opportunities within existing retailers.
• Ops teams (NOC), and DA Analysts to realize these opportunities, consulting closely with the commercial or RV team as applicable.

As a Senior Data Analyst you will leverage your expertise to directly impact the performance and reporting for our 10 markets in the APAC region. You will act as a high-level advisor to the local markets, leveraging deep-dive analytics and AI-tools to steer country performance. This isn't about building reports, it’s about translating complex data into strategic roadmaps. You will bridge the gap between technical data analytics and executive decision-making, ensuring our global footprint is optimized for growth and efficiency.

This high-impact role requires a self-starter who is capable of effectively balancing trade-offs between speedy delivery and long-term investments in strategic data assets in order to enhance growth, efficiency, and competitive advantage across multiple markets.
 

Responsibilities:

• Strategic Market Advisory: Act as the primary consultant for 10 international markets, conducting deep-dive analyses into country performance to identify growth levers and operational gaps.
• Advanced Data Modeling & Analysis: Lead the development of complex SQL models to transform large datasets into scalable reports and actionable insights, using tools like BigQuery and dbt. Leveraging critical thinking in questioning existing solutions, and high ownership in developing new ones. Championing high standards in communication and deliverables.
• Next-Gen Data Solutions: Move beyond traditional BI by integrating LLMs and agentic workflows into our reporting suite, transforming static data into interactive, conversational business intelligence.
• Functional Knowledge and Business Acumen: Quickly develop an excellent understanding of the business and its key processes, strategic levers and KPIs
• Stakeholder Collaboration & Data Advocacy: Partner with senior business leaders to co-define key metrics, identify process optimization opportunities, and translate analytical findings into actionable insights. Being a strong advocate for building strategic analytical partnerships, as opposed to just providing data.
• Transparency & Backlog Management: Maintain clear visibility into the team’s project backlog, providing regular updates and insights to stakeholders. Actively seek and incorporate feedback to continuously improve analytics processes and outputs.
• Mentorship & Development: Provide guidance and mentorship to junior analysts, enhancing their technical skills and fostering a collaborative team environment.
• Data & Reporting Consistency: Balance speed and adherence to SLAs with a commitment to data consistency, avoiding redundant work and ensuring alignment with the organization’s ethos of a single source of truth and standardized processes for financial and other reporting.
• Rigorous Standards in Data Quality: Establish, provide ongoing evaluations, and make strategic recommendations on future enhancements in data accuracy, validity, and velocity, both of analytics outputs created internally, and of our portfolio of category position solutions provided by external partners.

Find out more about our Data Analytics folks here: 

• Turn insights into impact!
• Looking for a career in data analytics? This could be the opportunity for you!

We are looking for a skilled Data Engineer with strong experience in cloud platforms like Amazon Web Services and Microsoft Azure. The candidate will be responsible for building scalable data pipelines, managing large datasets, and supporting analytics and reporting systems.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

Get to Know the Team

The Regional Market Insights Team plays an important role in influencing Grab's strategic and operational decisions by offering insights on industry developments and competitive dynamics. We evaluate the landscape through diverse lenses and complement traditional market research and analysis with innovative techniques.

Get to Know the Role

Reporting to our Senior Market Insights Manager, you will lead the strategic market analysis initiatives, transforming complex data into actionable insights that drive business growth and inform critical organizational decisions. You will collaborate with cross-functional teams to uncover market opportunities, analyze competitive dynamics, and deliver compelling insights that shape our strategic direction for GrabMart business.

You will be base onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• Develop and implement advanced statistical models and machine learning algorithms to analyze market trends, consumer behavior patterns, and competitive dynamics across multiple business segments
• Design and conduct comprehensive market research studies to identify latest opportunities, potential risks, and market gaps that inform strategic planning
• Create compelling data visualizations and executive-ready reports that communicate complex insights to stakeholders at all organizational levels
• Collaborate with cross-functional teams including product, strategy, and operations to translate business problems into data-driven solutions and recommendations
• Mentor and support junior data scientists, promoting a culture of innovation, continuous learning, and analytical excellence
• Develop predictive models and forecasting frameworks to anticipate market trends and consumer preferences, allowing proactive decision-making
• Optimize data collection processes and implement best practices for data management, quality assurance, and analytical workflows
• Stay current with advancements in data science techniques, tools, and methodologies, evaluating their applicability to enhance our market analysis capabilities
• Present findings and recommendations to senior leadership with clarity and strategic context, translating data into business value

Get to know the Team

The Demand Analytics team turns data into growth—strengthening Grab's market leadership, optimizing product and promo performance, unlocking new demand through lifecycle and gamified experiences, scaling cross-vertical incentives and rewards, and partnering with product and business teams to pilot and scale high-ROI initiatives.

Get to know the Role

As a Senior Data Scientist for Demand team, you will be the analytical backbone of our growth strategy. You'll work with Product, Business, and Engineering teams to understand consumer behavior, identify market opportunities, and track the impact of our demand-generation efforts. Your role is to turn massive datasets into a roadmap for sustainable growth and competitive advantage.

You will reporting to our Analytics Manager and base onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• Identify Strategic Opportunities: Deep-dive into existing data to recommend product ideas that either solidify our current market share or unlock entirely new growth levers.
• Lead Experimentation: Design and propose robust experimentation strategies for new and exploratory features, analyzing results to provide clear "go/no-go" recommendations.
• Leverage AI for Insights: Utilize Generative AI and LLM-based tools to accelerate insight generation, automate root-cause analysis, and build intuitive, natural-language interfaces for complex data inquiries.
• Master Data Storytelling: Use visualization techniques and dashboards to present complex insights to non-technical audiences, influencing regional product roadmaps.
• Develop Scalable Frameworks: Identify recurring demand-side problem statements and build generalized analytical solutions to solve them efficiently at scale.
• Own Data Integrity: Design frontend and backend data specs for new demand features, collaborating with engineering to ensure high-quality data collection.
• Mentor and Role-Model: Support the professional development of junior team members while maintaining high standards of rigor in measurement, experimentation, and analysis.

We are seeking an experienced Senior IT functional techno analyst for our CRM platform. The ideal candidate will possess a deep understanding of the platform, functionalities and have a proven track record in supporting and delivering CRM projects. This role requires an analytical thinker with strong problem-solving capabilities    

Key Responsibilities

Business Engagement and Project Management

• Communicates effectively with end-users for project activities including requirements gathering, scope prioritization, user acceptance testing, and user training
• Acts as the liaison between the business experts (Sales Ops and Finance) and the IT project team members
• Facilitates business/functional requirement gathering, design, architectural / integration awareness, review, approval and sign-off sessions
• Support month end and quarter end activities     

Technical Expertise

• Identifies solutions to the development and technical team based on approved business and functional requirements.
• Verifies that the technical solution meets the business requirements.
• Provide support and information for projects such as system enhancements, process changes, testing, and system implementations.
• Own and manage operational performance metrics, ensuring targets are clearly defined, tracked, and reported.
• Drive team alignment and accountability to consistently achieve agreed service and delivery metrics.

Get to Know the Team:

The Analytics team's mission is to use data and experimentation to advance product innovation. We love building hacky products to test and iterate what's best for our customers. As we ship multiple products every week, it means we have to fine-tune models, run and evaluate hundreds of experiments weekly! We are looking for experienced data scientists to build a center of data excellence for Product & Experimentation in a diverse range of tech families. Your role is to guide a data-first approach to product thinking, design controlled experiments, and be objective while evaluating results, all of this while working with stakeholders to evaluate innovative product and business ideas! You will help developers, designers & product managers across the company with recommendations on how to learn from unexpected results, study underlying causes for them, and iterate on the next set of products to build for our users.

Get to Know the Role:

Reporting to the Senior Analytics Manager, you will work closely with different teams within a business line (Product, Business, Engineering, Design, and Data Science) to understand data requirements, identify and track key metrics, and provide data-driven insights. You will also work with stakeholders to evaluate the feasibility of new business/product ideas and provide appropriate recommendations.

This role is based in Petaling Jaya and onsite.

The Critical Tasks You Will Perform

• You will analyze existing data and recommend new product ideas to address impactful customer problems based on business objectives.
• You will identify trends, spot anomalies, and investigate their root causes using data.
• You will utilize your data analysis and visualization skills to present insights and tell a compelling story to a non-technical audience.
• You will collaborate with stakeholders to align on key product metrics and propose experimentation strategies, including A/B testing.
• You will design and manage data specifications for new products, ensuring accurate data collection in collaboration with engineering teams.
• You will mentor junior team members, promote high standards in data handling, and develop scalable frameworks to address recurring problems efficiently.

Senior Data Analytics Engineer / Lead

Location & Compensation
- KL Bangsar South (Hybrid)
- RM 8,000-14,000 Basic + Benefits

Why You Should Apply
- Join a data-first business intelligence platform and tech product company from Europe.
- Discover hidden value in unstructured data that drives significant business impact.
- Engage in a process of tracking, measuring, and iterating—not just handling data in and out.
- Provide actionable insights to corporate and enterprise clients, going beyond standard reporting.
- Future-proof your career by developing as a full stack data engineer and analytics professional, gaining a comprehensive understanding of the data lifecycle.

Key Responsibilities
- Split your role between 50% data engineering and 50% analytics.
- Identify and analyze trends, and conduct ad-hoc analyses to generate insights that support client decision-making.
- Collaborate with project managers and engineers to understand client needs, connect data sources, and deliver tailored solutions.
- Design, develop, and implement data pipelines to ingest and transform large volumes of data, and build scalable data models that power the core platform.
- Perform data integration and preparation, including ETL processes and data structure optimization, to streamline analysis workflows.

Requirements
- Educational background in Mathematics and Statistics, Analytics, Actuarial Science, or Data Science.
- Strong analytical mindset with a passion for working with numbers and converting data into actionable insights.
- Ability to define and solve ambiguous, open-ended business problems using exploratory and analytical approaches.
- Proficiency in SQL and Python for data transformation, cleaning, and preparation.
- Current role could in Data Analytics or Data Analyst / Data Engineer / Business Intelligence but you must have the Analytics experience

About the Company & Team
- A scaling European tech company with a Malaysian Engineering Hub, serving B2B enterprise customers.
- Specializes in niche, data-driven business insights tools for cargo, logistics, aviation, and shipping sectors.
- Supports clients in making informed commercial decisions related to routes, maintenance, demand planning, operations, and forecasting models.
- Opportunity to work with global customers, with a European head office and a Malaysian engineering hub.

How to Apply
- Click the “apply” button to submit your application.
- You may submit an updated CV or simply share your LinkedIn profile.
- The recruiter is available to provide more information before you proceed.

Additional Notes
- Employment passes, work visas, or relocation support are not provided.
- Only candidates with work rights in Malaysia will be considered.
- This role is not suitable for fresh graduates; 4-8+ years of relevant experience is required.

Get to Know the Team

The Analytics team's mission is to use data and experimentation to advance product innovation. We love building hacky products to test and iterate what's best for our customers. As we ship multiple products every week, it means we have to fine-tune models, run and evaluate hundreds of experiments weekly! We are looking for experienced data scientists to build a center of data excellence for Product & Experimentation in a diverse range of tech families. Your role is to guide a data-first approach to product thinking, design controlled experiments, and be objective while evaluating results, all of this while working with stakeholders to evaluate innovative product and business ideas!

Get to Know the Role

You will report to the Head of Analytics, and you will work closely with different teams within a business line (Product, Business, Engineering, Design and Data Science) to understand data requirements, identify key metrics, and provide data-driven insights. You will also work with stakeholders to evaluate the feasibility of new business/product ideas and provide appropriate recommendations.

This role is based in Petaling Jaya and onsite.

The Critical Tasks You Will Perform

• You will innovate: Propose cutting-edge product ideas by diving deep into data, addressing the most pressing customer challenges.
• You will illuminate: Use your mastery of data to uncover trends, decode anomalies, and tell compelling stories that inspire action.
• You will Influence: Collaborate with stakeholders to define key metrics and design experiments that shape the future of our products.
• You will drive impact: Drive significant improvements across our platforms, enhancing user experience, and contributing to our mission of excellence.

ABOUT US

Teleport’s on a mission to move things across Southeast Asia and beyond by giving access to affordable and reliable cross-border delivery for all big and small businesses, as fast as next-day.

This role is about #doingboringbetter — applying discipline, precision, and smart thinking to create stability, efficiency, and long-term impact for the organisation.

Ready to shape the stories behind a brand that moves faster, cheaper, and better? Keep reading!
Learn more about Teleport here: https://www.teleport.it/

***Applicants must be Malaysian citizens. Visa sponsorship is not provided, and candidates must have the legal right to work in Malaysia

Key Responsibilities

• Analyze structured and unstructured data to identify trends, patterns, and key insights.
• Collaborate with stakeholders across departments to understand business challenges and translate them into data-driven recommendations.
• Take ownership of project planning and execution, ensuring progress is tracked, risks are managed, and deliverables are completed on time.
• Lead and facilitate discussions with stakeholders to gather requirements, clarify objectives, and align on solutions.
• Create clear documentation of processes, workflows, and analysis findings.
• Identify opportunities to streamline operations, improve efficiency, and support business growth.
• Build and maintain reports, dashboards, and tools primarily in Google Sheets or Looker Studio (as and when needed), with an emphasis on clarity, automation, and scalability.

Qualifications & Experience

• 2–4 years of experience in a Business Analyst, Data Analyst, or similar role.
• Proficiency in Google Sheets (GSheets) and Excel; knowledge of SQL, Python, or BI tools is a plus.
• Strong project management and organizational skills; able to manage multiple priorities and meet deadlines.
• Strong analytical and problem-solving skills; comfort working with incomplete or messy data sets; strong attention to detail and data accuracy.
• Excellent communication and stakeholder management abilities; capable of translating complex findings into simple, actionable insights.
• A curious mindset and willingness to ask questions, explore new approaches, and challenge assumptions.
• Experience working in fast-paced, ambiguous, or startup-like environments is a strong advantage.