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A leading superapp company in Singapore seeks an experienced Product Analyst to drive insights through data analysis and testing. Responsibilities include designing A/B tests, analyzing results, and providing data-driven recommendations. Candidates should have 3-6 years of experience in product analytics, proficiency in SQL, Python, and R, and the ability to create dashboards using PowerBI. This role offers flexible work arrangements and comprehensive benefits.
Grab 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.
Our Search and Personalisation Team focuses on advancing scalable machine learning and experimentation frameworks that power search relevance, ranking, and recommendations across Grab. By leveraging cutting-edge analytics and statistical methods, we continuously optimize how users connect with merchants, services, and content.
In this role, you will work closely with product managers, data scientists, engineers and product designers to define hypotheses, design experiments, and deeply understand user needs, pain points, and business goals. You will act as a strategic partner throughout the product development lifecycle — offering analytical support from ideation to execution—and help prioritize features through data-driven insights. You will be based in Singapore and reporting to Head of Analytics.
We care about your well-being at Grab, here are some of the global benefits we offer:
We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.