Job Title: Senior Data Analyst

Location: Bangalore / Gurgaon (In office / 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:
Write complex, highly optimized SQL queries to extract and manipulate large-scale transaction and user data.
Design and maintain interactive, real-time dashboards using Power BI, Tableau, or Looker.
Analyze core Fintech metrics including Customer Acquisition Cost (CAC), Lifetime Value (LTV), churn rates, and transaction success rates.
Conduct A/B testing and statistical analysis to evaluate new product features and risk models.




Clean and preprocess unstructured data using Python (Pandas/NumPy) or R to prepare for advanced analytics.
Translate complex data findings into actionable business narratives for non-technical stakeholders.

Must-Have Qualifications:
3 to 7 years of dedicated experience as a Data Analyst.
Expert-level proficiency in SQL (window functions, CTEs, query optimization).
Strong hands-on experience with at least one enterprise BI tool (Tableau, Power BI, Looker).
Demonstrable experience using Python or R for data manipulation.
Solid understanding of statistical analysis and A/B testing frameworks.

Positive-to-Have Skills:
Prior experience in the Fintech, Banking, or Payments domain (understanding of risk, fraud, or lending).
Familiarity with cloud data warehouses (Snowflake, BigQuery, Redshift).
Experience with dbt for data transformation.

📌 Senior Data Analyst Bengaluru (India)
🏢 HyrEzy Talent Solutions
📍 India