Principal Data Analyst (Rural Analytics)
IDFC FIRST Bank · Mumbai
- Experience8–12 yrs
- SalaryNot disclosed
- Work modeonsite
- Levelexecutive
- Posted2 Sept 2026
About IDFC FIRST Bank
IDFC FIRST Bank is hiring in Mumbai in financial services. This role looks for around 8+ years of experience.
Skills
- credit risk analytics
- SQL
- Python
- PySpark
- data preprocessing
- feature engineering
- analytical workflows
- data governance
The role
A data analyst at a banking and credit organization develops credit risk analytics using SQL, Python, and feature engineering, and automates analytical workflows for risk and business decisions. Statistical modeling and data preprocessing support accurate reporting, data governance, and stakeholder adoption.
Full job description
The core responsibilities for the job include the following:
Credit Risk and Analytics:
Develop and enhance credit risk scorecards and analytical strategies used during the application stage.
Analyze customer and transactional data to generate actionable insights for risk and business teams.
Support risk strategy development through data-driven analysis and reporting.
Data Processing and Feature Engineering:
Perform data cleansing, validation, merging, and enrichment to ensure high-quality datasets.
Build and engineer meaningful features from raw datasets to improve analytics outcomes.
Handle large-scale structured and unstructured datasets efficiently.
Reporting and Automation:
Develop automated analytical workflows and reporting mechanisms.
Ensure data consistency, accuracy, and timeliness across reporting systems.
Optimize report generation and reduce manual intervention through automation.
Governance and Compliance:
Ensure adherence to data governance, regulatory, and compliance standards.
Maintain transparency and accuracy in analytical models and reporting outputs.
Key Success Metrics:
Accuracy and reliability of analytical outputs and reports
Improvement in business impact through analytics-driven decisions
Automation and optimization of reporting workflows
Faster turnaround time for analytics and reporting delivery
Data consistency, completeness, and refresh frequency
Stakeholder adoption and satisfaction with analytics solutions
Requirements:
8+ years of experience in analytics, scorecard development, or credit risk analytics.
Strong expertise in SQL, including joins, aggregations, and advanced data handling techniques.
Hands-on experience with Python and/or PySpark for analytics and data processing.
Strong understanding of data preprocessing, feature engineering, and analytical workflows.
Ability to communicate complex analytical findings to business and non-technical stakeholders.
Strong problem-solving and stakeholder management skills.
Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Finance, or related fields.
Preferred Skills:
Experience in BFSI, lending, or credit risk analytics domains.
Exposure to large-scale data environments and automation frameworks.
Understanding of statistical modeling and reporting best practices.