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 DesignersRisk 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.
Qualifications :
What Essential Skills You Will Need
- Bachelors/Masters 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.
Additional Information :
Life at Grab
We care about your well-being at Grab here are some of the global benefits we offer:
- We have your back with Term Life Insurance and comprehensive Medical Insurance.
- With GrabFlex create a benefits package that suits your needs and aspirations.
- Celebrate moments that matter in life with loved ones through Parental and Birthday leave and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.
- Balancing personal commitments and lifes demands are made easier with our FlexWork arrangements such as differentiated hours
What We Stand For at Grab
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.
Remote Work :
No
Employment Type :
Full-time