Description
Grab is Southeast Asia's leading superapp, offering various services such as food delivery, financial management, and ride-hailing.
We are looking for a Data Scientist (Analytics) to join our OmniCommerce Analytics team and help turn data into decisions across deals, reservations, loyalty, and CRM , the products that drive offline footfall to our merchants.
Responsibilities
- Product Analytics: Partner with the product, design, and engineering teams to derive insights, support experiment design, and inform key product decisions.
- Strategic & Business Analytics: Support strategic initiatives with data analytics and insights, including deep-dives into customer and merchant behaviour, product efficacy, and ad-hoc projects.
- Run A/B tests and analyse experiment results, translating them into clear, actionable recommendations for product iterations.
- Support experiment design by helping to define hypotheses and success metrics alongside product managers and senior analysts.
- Conduct deep-dive analyses of user and merchant behaviour to uncover trends, patterns, and root causes.
- Build and maintain intuitive dashboards that give stakeholders real-time visibility into product and feature performance.
- Contribute to defining and tracking key business metrics, and proactively flag anomalies or opportunities.
- Process and distill stakeholder requirements into concise insights through reports, presentations, and dashboards.
- Apply AI tools to accelerate your analytics workflow, with a critical eye that validates AI-produced output against raw data, business logic, and regional context.
Requirements
- At least 1 year of experience in a data analytics, business intelligence, or data science role, ideally in a B2C or internet business with large, complex datasets.
- Fluent with SQL and comfortable querying large relational databases; proficient in Python (or R) for analysis and problem-solving.
- Working knowledge of statistical methods, with hands-on experience designing and analysing A/B tests, plus an understanding of hypothesis testing.
- Strong data visualization and storytelling skills, with experience creating dashboards using tools like PowerBI or Tableau.
- Strong communication skills , able to make data clear and actionable for non-technical stakeholders.
- A fast learner who closes their own knowledge gaps, metabolises feedback quickly, and takes ownership of their work in a fast-paced, ambiguous environment.
- Curiosity and a keen eye for spotting patterns and trends in data, with the instinct to hypothesise problem statements and propose appropriate solutions.
Benefits
- Term Life Insurance and comprehensive Medical Insurance
- GrabFlex benefits package
- Parental and Birthday leave
- Love-all-Serve-all (LASA) volunteering leave
- Confidential Grabber Assistance Programme
- FlexWork arrangements