Senior Product Analyst (Data Scientist)

About Grab and Our WorkplaceGrab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. Get to Know the TeamThe Grab Support team supports Grab's Partners, including drivers, passengers, and merchants, in using our products. The team is responsible for delivering exceptional customer service for our drivers, passengers, and merchant partners. As a Senior Product Analyst, you'll have the opportunity to collaborate with experts in technology, analytics, and business operations to drive the vision and growth of our platform. Get to Know the RoleWe are looking for a Senior Product Analyst with great analytical skills to help product teams be more data-driven and objective and guide the design of controlled experiments. 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. You will report to the Product Analytics Manager, and work onsite at the Grab HCMC office. The Critical Tasks You Will Perform You will dive into data to align with business objectives, recommending novel solutions to address key customer challenges. You will measure and analyze performance across markets and business lines using data. You will develop analytical frameworks for identifying common patterns in recurring hypotheses and problems. You will create models that examine product configurations and explore interaction effects. You will monitor metrics, perform root cause analysis on metric shifts, and report findings. You will design and implement experiments to guide product decisions, including A/B testing, analysis, and recommendations.