Data Analyst

We are a high-growth Fintech company dedicated to expanding financial inclusion through mobile-first digital solutions. The Data Analyst will analyze borrower behavior, optimize scoring data pipelines, and influence algorithms that manage financial risk and fuel growth.

• Analyze transactional patterns, repayment behavior, and user demographics to help optimize credit risk models and minimize default rates.
• Deep-dive into product analytics to identify friction points in the digital application and onboarding funnel, improving conversion rates.
• Build and automate real-time dashboards (using Tableau, Power BI, or Looker) to monitor daily disbursement volumes, collection rates, and portfolio health.
• Write and optimize complex SQL queries to pull multi-million row datasets from cloud data warehouses (e.g., Snowflake, BigQuery) without slowing down production environments.
• Partner with legal and compliance teams to extract accurate data for mandatory reporting and audit trails.

• 2–4 years of experience analyzing data within a Fintech, digital banking, or fast-paced transactional consumer app environment.
• Absolute comfort with window functions, subqueries, and blending data from unstructured or semi-structured sources (JSON, nested arrays).
• Proven track record of building production-grade dashboards that non-technical operations teams can use daily.
• Strong understanding of cohort analysis, customer lifetime value (LTV), customer acquisition cost (CAC), and basic probability.
• Basic Python (Pandas, NumPy) for automating repetitive data-cleaning tasks (preferred).
• Prior exposure to fraud detection patterns, collection metrics, or alternative credit scoring methods (preferred).
• Experience with dbt, Git workflow, or handling event-driven streaming data (e.g., Mixpanel, Amplitude) (preferred).