Product Analyst - IIT/ NIT

About the job

GoodScore is on a mission to make financial literacy and credit access simple, actionable, and inclusive for over 150 million Indians who are credit-underserved. From starting personalized credit consulting in 2023 to now, empowering over 5 million users to take control of their credit health, we are one of Indias fastest-growing credit score & credit management apps. We are backed by leading VC funds in India, consistently ranked among the top 10 finance apps in the country, and are currently on a 1x to 100x growth journey. Were building a high-impact team that shares our vision of transforming how India understands and manages creditand this is only the beginning. A few resources and highlights that may be helpful for a quick introduction to Goodscore:

• Overview of our recent Series A fundraise
• Podcast featuring our founder, Sanchit Bansal, sharing his vision for Goodscore
• High-ownership culture offering opportunities to build and scale from zero-to-one and one-to-many
• Technology-driven product delivering real, measurable impact on users financial lives

About the Role:The Product Analyst role offers a unique opportunity to work closely with the founders and directly shape product and business outcomes through data-driven insights. The ideal candidate is a first-principles thinker with strong analytical depth, a natural curiosity for uncovering patterns in data, and a relentless focus on solving complex business problems. If you enjoy challenging assumptions, translating ambiguity into actionable insights, and building scalable analytical frameworks in a fast-paced environment, youll thrive in this role. Roles & Responsibilities:

• Problem Discovery & Structuring: Partner closely with product, business, and growth teams to identify key business challenges and translate them into structured analytical problem statements.
• Insight Generation & Analysis: Own the end-to-end analytics lifecycle from data exploration and hypothesis creation to deep-dive analysis and actionable insight generation.
• Data-Driven Decision Making: Leverage quantitative analysis to uncover trends, measure business impact, and provide strategic recommendations that influence product and business decisions.
• Product Analytics & Experimentation: Analyze user behavior, product funnels, retention metrics, and growth levers to identify optimization opportunities and support experimentation initiatives.
• Dashboarding & Visualization: Design, build, and maintain intuitive dashboards and reporting frameworks that enable teams to monitor key metrics and make informed decisions efficiently.
• Cross-Functional Collaboration: Work closely with product managers, engineers, operations, and leadership teams to solve complex business problems and drive product growth at scale.