Get to Know the Team
- GrabFin Analytics team supports the Fintech product, business and risk orgs. Product Analyst are part of one or more tech families - Fin Core, Fin Experience, Fin Identity, Payments, Financial Services (Invest, Insure & Lending).
- This role is parked in the Payments tech family
- We care about understanding how users experience the Product and partner with Business, Product, Design, and Tech to focus on the right outcomes and feature set
- We remain necessary to product development from understanding user journeys with UX designers to hypothesis development, right through to post rollout optimization.
Get to Know the Role
- Use data to understand user needs - be the de-facto Voice of the Customer (users, driver-partners, merchants, agents, etc) for all GFG teams.
- Leverage data for further insights to improve decision-making for Lending teams at Grab by developing dashboards, maintaining pipelines, holding metrics reviews and coming up with insight decks/experiments
- Champion data-driven decision-making and culture in Grab Financial GroupPartner with Product Managers, Business Owners, UX Designers,Risk and Engineering to design and deliver analytical projects that help support the GFG Product roadmap
- Provide thought leadership and generate data-driven hypotheses to solve key Product and Business problems.
- You will be reporting to "Analytics Manager II".
- This is a Hybrid role based in Bangalore (3 days Work from Office every week).
The Critical Tasks You Will Perform
- Design and analyze A/B tests and multivariate experiments for UI/UX, layout, contextualization, algorithms, and APIs.
- Mine clickstream and transactional data to derive insights on user behavior and drive GFG product metrics.
- Own instrumentation for feature releases within assigned tech families in GFG.
- Generate segmented customer and merchant insights to refine product iterations and improvements.
- Deliver reliable, on-time outputs and build scalable, automated self-serve solutions for stakeholders.
What Essential Skills You Will Need
- Bachelor's/Master's in Statistics, Analytics, Economics, Mathematics, Engineering, or related fields.
- 3+ years of experience in Analytics, BI, or Data Science, preferably in Internet/E-Commerce with large, high-velocity data.
- Strong SQL experience querying large relational databases; prior lending/credit risk experience preferred.
- Translate data insights into relevant recommendations for non-technical and senior team members.
- Proficiency in Python, Databricks, Tableau/Power BI, and expertise in A/B testing, hypothesis testing, and DoE principles.