About the role
Job Title: Senior Data Analyst
Location: Bangalore / Gurgaon (On-site / Hybrid)
Experience: 3 – 7 Years
Compensation: Up to ₹25,00,000 LPA
Employment Type: Full-Time
About the Role: We are a rapidly scaling Fintech product company seeking a highly analytical and business-minded Data Analyst to drive data-informed decision-making. You will partner with product, risk, and growth teams to analyze complex transaction datasets, uncover user behavior trends, and build scalable BI dashboards that monitor core financial metrics.
Key Responsibilities:
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Write complex, highly optimized SQL queries to extract and manipulate large-scale transaction and user data.
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Design and maintain interactive, real-time dashboards using Power BI, Tableau, or Looker.
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Analyze core Fintech metrics including Customer Acquisition Cost (CAC), Lifetime Value (LTV), churn rates, and transaction success rates.
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Conduct A/B testing and statistical analysis to evaluate new product features and risk models.
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Clean and preprocess unstructured data using Python (Pandas/NumPy) or R to prepare for advanced analytics.
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Translate complex data findings into actionable business narratives for non-technical stakeholders.
Must-Have Qualifications:
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3 to 7 years of dedicated experience as a Data Analyst.
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Expert-level proficiency in SQL (window functions, CTEs, query optimization).
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Strong hands-on experience with at least one enterprise BI tool (Tableau, Power BI, Looker).
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Demonstrable experience using Python or R for data manipulation.
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Solid understanding of statistical analysis and A/B testing frameworks.
Good-to-Have Skills:
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Prior experience in the Fintech, Banking, or Payments domain (understanding of risk, fraud, or lending).
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Familiarity with cloud data warehouses (Snowflake, BigQuery, Redshift).
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Experience with dbt for data transformation.