Total 6 data entry clerk job vacancies in Petaling Jaya

Get to Know the Team

The Data Platform team at Grab is a collective of software engineers, product managers, product designers, software engineers, and technical program managers, part of the larger Tech Infrastructure organization and focused on enhancing the productivity, development velocity, and efficiency for fellow internal Grabbers, serving millions of users daily. These platforms encompass Experimentation, Data Discovery and Catalog layers, Metrics Engine, Customer Data Platform, Streaming Platforms, and Machine Learning Platform. Our mission is to build and maintain a suite of tools and platforms that enable Grabbers to work smarter, faster, and more collaboratively.

Get to Know the Role

We're looking for a Lead Product Manager to join our Technical Infrastructure team, specifically focusing on Data Platform. In this role, you'll collaborate with engineering, data science, analytics, and product teams to pinpoint areas for improvement and develop impactful solutions. The Data Platform team empowers the underlying platform and infrastructure that supports all data applications in Grab, including data ingestion, data storage, data discovery, data query, data quality, and data activation. You'll work with cross-functional leaders across the company to drive organization-wide changes.

You will report to the Head of Product, Data Tech and AI, and base onsite at our Petaling Jaya office.

The Critical Tasks You Will Perform

• Define and execute the product strategy for the Data Platform.
• Collaborate with cross-functional teams to identify opportunities for improvement and develop tailored solutions.
• Gather requirements, conduct user research, and prioritise the product backlog ensuring the team focuses on high-impact projects.
• Establish strong relationships with internal stakeholders and deeply understand their needs and challenges.
• Drive the adoption and onboarding of internal tools and Data Platform, ensuring user engagement and success.
• Oversee product launches and go-to-market activities for internal tools and data platforms.
• Communicate with both technical and non-technical stakeholders, ensuring the team's work is well-understood and well-supported.

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.

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.

The Integrity team is dedicated to safeguarding our users on Grab. We use our datasets to address multiple challenges, from ensuring safety to preventing fraud. We are involved in the entire data lifecycle, including analyzing user behavior, identifying anomalies, and developing detection and prevention modules for suspicious activities. If you're enthusiastic about solving complex problems that have a direct, real-world impact, we'd love to have you on board!

Get to Know the Role

Reporting to our Analytics Manager in the Integrity team (Trust, Identity & Safety), you will help analyze data to understand user behaviors and identify potential risks on our platform. Your insights will guide strategies to safeguard our diverse user base from multiple types of fraud and risk.

The Critical Tasks You Will Perform

• Analyze large-scale user, partner, and transaction data to identify risk patterns, trends, and anomalies; recommend targeted mitigation strategies.
• Build and iterate data-driven detection (e.g., rules, thresholds, signals/heuristics) and support simulations/impact analysis to balance fraud catch with user friction.
• Create, maintain, and automate dashboards/monitors that track key risk and performance metrics (precision/recall, false positive rates, incident trends, financial impact).
• Conduct statistical analyses and experimentation (e.g., A/B or backtesting) to validate changes, quantify trade-offs, and guide policy/strategy updates.
• Partner with Product, Engineering, Data science and strategy teams to scope problems, align on success metrics, and operationalize solutions.
• Contribute to incident reviews, root-cause analyses, and prevention playbooks; help institutionalize learnings into processes and tooling.
• Leverage AI/LLM tools responsibly to accelerate analysis, documentation, and prototyping.

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.