Training Business Analyst

3 days ago

Bangalore, India GoodScore Full time
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.

We are looking for a highly analytical and detail-oriented Business Analyst to join our team in Bangalore. The ideal candidate will be responsible for solving business problems through structured data analysis, building insights, and enabling strategic decision-making. This role requires strong problem-solving skills, the ability to work cross-functionally, and a passion for using data to drive business outcomes.

Collaborate with stakeholders across product, operations, finance, and marketing to identify business problems and define analytical solutions.
Develop dashboards, reports, and frameworks to track business performance and identify trends.
Translate complex data findings into clear and concise presentations for leadership teams.
Bachelor’s degree from a Tier-1 engineering college (IIT, NIT, BITS, or equivalent).
~1–3 years of experience in business analysis, consulting, analytics, or a related role.
~ Strong analytical and problem-solving skills with proficiency in Excel/Google Sheets and at least one data querying language (SQL, Python, or R).
~ Experience working with BI tools (Tableau, Power BI, Looker, etc.) Excellent communication and presentation skills to explain insights to non-technical stakeholders.
~ Prior experience in a management consulting firm, high-growth startup, or financial services.
Understanding of business domains like product, growth, finance, or operations.
Exposure to statistical modeling or machine learning techniques.

Opportunity to work with a smart, driven team solving impactful business problems.
Exposure to leadership and cross-functional projects at an early stage in your career.

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