▷ [15h Left] Product Analyst

2 days ago


Bengaluru, India GoodScore Full time

Company Overview: 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 1 million users to take control of their credit health, we are one of India’s fastest-growing credit score & credit management apps. We are backed by top VC funds in India, ranked among the top 10 finance apps in India, and are on the 1x to 100x journey. We’re building a team that shares our vision of transforming how India manages credit. Goodscore Raises Series A Role Description: We are seeking a passionate and detail-oriented Product Analyst to join our team in Bangalore. This is a unique opportunity to work directly with the founder and play a key role in driving our business forward through data-driven insights. If you are a first-principles problem solver, curious about uncovering the stories hidden within data, and constantly questioning the status quo, you will fit right in with us. Responsibilities: - Problem Identification: Collaborate closely with business and product teams to understand and translate business problems into analytical problem statements. - Insight Generation: Own the entire insight generation phase from problem identification to thorough analysis. - Data-Driven Decision Making: Present insights and recommendations based on data-driven hypotheses. - Analytics and Visualization: Act as the subject matter expert in analytics and visualization for the team. Design and build dashboards that are easy for the team to consume and utilize for data-driven decisions. - Collaboration and Communication: Interact with some of the industry's smartest professionals and get exposure to all facets of building a product at scale. Requirements: - Education: B. Tech degree from a tier-1 engineering college. - Experience: 1-3 years of experience in a similar role in a B2C company. - Strong problem-solving and analytical skills. - Penchant for business and curiosity to understand how the product works. - Ability to write complex queries on SQL to manipulate and consolidate multiple data sources for dashboarding and analysis. - Intuition of data and ability to handle big data sources. - Strong working knowledge of Excel and visualization tools like PowerBI, Tableau, and QlikView. - Understanding of data-analysis languages such as R or Python and core statistical concepts. - Experience in building ML models is a plus, but not mandatory.



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