Exl | data analyst
2 days ago
We are seeking a highly skilled Data Analyst with expertise in SQL, Python, and a strong background in the banking domain. The ideal candidate will leverage their technical and analytical skills to extract insights from data, support regulatory and operational requirements, and contribute to strategic decision-making within the banking sector.
Key Responsibilities:
Data Analysis and Reporting:
Analyze complex banking datasets to derive insights on customer behavior, transaction patterns, and financial performance.
Design and maintain dashboards and reports using Python and data visualization tools like Tableau or Power BI.
Generate actionable insights to drive business strategies and ensure data accuracy in all deliverables.
2. Banking Domain Analytics:
Perform analytics on banking products such as loans, credit cards, deposits, and payments to optimize performance and enhance customer experience.
Support risk management and compliance teams with data analysis for anti-money laundering (AML), fraud detection, and credit risk evaluation.
Provide insights for regulatory reporting to meet compliance standards such as KYC, Basel norms, and other financial regulations.
3. Data Management and Transformation:
Utilize SQL for querying and manipulating large-scale datasets from banking systems.
Write Python scripts to automate data extraction, transformation, and analysis processes.
Ensure data quality and integrity through rigorous validation and cleansing practices.
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