Job Description
We are looking for a Data Analyst with strong experience in the FinTech domain to drive data-driven decision-making across lending, payments, or financial services. The role requires deep expertise in SQL and data visualization, with the ability to translate complex datasets into actionable insights for business stakeholders.
Key Responsibilities
Extract, transform, and analyse large datasets using SQL from multiple data sources (data lakes, warehouses, CRM systems).
Develop and maintain dashboards and reports using visualization tools (e.g., Power BI, Tableau, Amazon Qucksight).
Perform cohort analysis, funnel analysis, and customer segmentation for financial products (loans, insurance, payments).
Analyse key metrics such as disbursement, conversion rates, churn, delinquency, and portfolio performance.
Collaborate with business teams (risk, product, marketing, collections) to identify growth and optimization opportunities.
Build automated reporting pipelines to reduce manual effort and improve data reliability.
Ensure data quality, consistency, and governance across reporting systems.
Support A/B testing and experiment analysis for product and marketing initiatives.
Mandatory Skills
Strong proficiency in SQL (joins, window functions, CTEs, query optimization).
Hands-on experience in Data Visualization tools (Power BI / Tableau / Looker).
Experience working with large-scale structured datasets.
Strong analytical thinking and problem-solving skills.
Ability to communicate insights clearly to both technical and non-technical stakeholders.
