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A leading superapp in Southeast Asia is seeking a Data Analyst to join their Integrity team. This role involves analyzing data to understand user behaviors and identify potential risks on the platform. The ideal candidate has over 5 years of experience in data-related fields, a strong background in SQL and statistical techniques, and a degree in a relevant discipline. The position offers comprehensive benefits and opportunities for professional growth.
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.
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 analysing user behaviour and product funnels, 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!
Reporting to the Senior Analytics Manager in the Integrity team (Trust, Identity & Safety), you will help analyse data to understand user behaviours, product funnels 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.
This role is onsite based in Bangalore.
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 provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.