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Tier-1 bank, Bangalore metro, common mid-level analytics title, and 4+ years experience increase candidate competition.
Role requires consumer-lending, portfolio and collections analytics expertise, limiting cross-industry transferability.
Explicit 4+ years plus mandatory SAS/SQL/Python, domain expertise, and large-dataset experience increases strictness.
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Consult, review, and research moderately complex business, operational, and technical challenges requiring in-depth evaluation of variable data factors.
Perform moderately complex data analysis to support strategic initiatives and business needs.
Lead or participate in large cross-group projects and mentor less experienced staff while collaborating with peers, contractors, and mid-level managers.
Bachelor's degree or higher in Statistics, Mathematics, Engineering, Economics, Finance, Computer Science, Data Science, or a related quantitative field.
4+ years of experience in analytics or related consumer lending functions such as portfolio management, servicing analytics, or collections analytics.
Hands-on experience with at least one area: Portfolio Analytics, Servicing Analytics, Collections Analytics, Customer Management Strategy, Business Performance Analytics, Forecasting & Planning, Data Management & Reporting.
Advanced proficiency in analytics and visualization tools (SAS, SQL, Python, Excel, VBA, Tableau, Power BI) and experience with large-scale databases (Oracle, Teradata, Hadoop, or cloud platforms).
Experience with consumer lending products, portfolio performance metrics, servicing operations, collections processes, and customer lifecycle management.
Strong programming skills in SAS and SQL with experience handling large analytical datasets and developing executive dashboards or portfolio monitoring frameworks.
Ability to influence business decisions with data-driven insights, strong project management skills, and experience collaborating with business, servicing, and operations stakeholders in a dynamic environment.