Data Analyst
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Description
Responsibilities:
- Build and maintain scalable executive dashboards using Tableau or Power BI to track KPIs across risk, finance, and operations.
- Write and optimise complex SQL queries across cloud data warehouses (Snowflake, BigQuery, Redshift).
- Analyse loan portfolios, vintage curves, PAR (Portfolio at Risk), NPL (Non-Performing Loans), DPD (Days Past Due), CAC, and LTV.
- Use Python or R for hypothesis testing, cohort analysis, and predictive modelling.
Requirements:
- Experience: 2-6 years.
- Experience with SQL and Python is a must-have.
- Certification in Tableau or Power BI is a must-have.