. The ideal candidate will be responsible for transforming data into insights that drive strategic decision-making. Experience or knowledge of
consumer credit processes
, credit risk analytics, or lending operations is preferred.
Key Responsibilities
------------------------
Extract, clean, analyze, and interpret large datasets using
SQL
and
Python
(Pandas, NumPy).
Build interactive dashboards, visualizations, and reports in
Tableau
to communicate data-driven insights to stakeholders.
Conduct deep-dive analyses to identify patterns, trends, and anomalies in consumer credit or financial datasets.
Support credit policy, risk modeling, and portfolio performance monitoring through data analysis.
Work with cross-functional teams (Product, Risk, Operations, Engineering) to gather requirements and deliver analytics solutions.
Develop automated scripts and workflows to streamline reporting and data quality checks.
Present findings to leadership with clear storytelling, data visualizations, and actionable recommendations.
Ensure data accuracy and integrity across all reporting and analytics deliverables.
Required Skills
DATA ANALYST
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