Senior Data Analyst
1 month ago
About the Role
We are seeking a skilled Senior Data Analyst to drive data-driven decision-making by leveraging analytical expertise to extract valuable insights from loan portfolio data.
Key Responsibilities
Design, develop, and maintain data warehouses for efficient storage and retrieval of loan portfolio data.
Implement data quality checks and ensure data integrity throughout the lifecycle.
Loan Portfolio Analytics
Analyze loan portfolio trends (growth, delinquency) across various segments (product, partner, etc.).
Conduct risk assessments through advanced analytics (NPA analysis, etc.).
Develop and maintain automated reports for offline and online data systems using Python, Metabase, and other relevant tools.
Strategic Insights & Communication
Partner with business stakeholders to identify strategic data needs and translate them into actionable insights roadmaps.
Clearly articulate technical and statistical concepts to audiences with varying technical backgrounds.
Influence senior leadership by effectively communicating data-driven insights.
Required Skills
Strong proficiency in SQL for data manipulation and querying.
Solid experience with Python for data analysis, automation, and scripting.
Advanced knowledge of Excel functions and data analysis techniques.
Familiarity with data warehousing concepts and best practices.
Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
Required Qualifications
Bachelor's degree in Statistics, Computer Science, Engineering, Business (Com/M. Com/MBA/MSC-IT/MCA), or a related field.
2+ years of experience in data analysis, preferably within the Banking/NBFC/Fintech sector.
Experience with credit risk analytics is a strong plus.
Excellent communication and collaboration skills.
Ability to translate complex data insights into clear and concise presentations for stakeholders at all levels.
Strong problem-solving and analytical thinking skills.
Attention to detail and a commitment to data accuracy.
Desired Skills
Experience with R programming language (a plus).
Familiarity with cloud-based data platforms (e.g., AWS, Azure) (a plus)
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