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Tier-1 brand, mid-level generalist analytics role in metro with broad technical and domain requirements.
Role requires consumer lending and portfolio analytics domain expertise, limiting cross-industry transferability.
Explicit 4+ years, mandatory SAS/SQL/Python and domain analytics expertise.
Consult, analyze, and resolve moderately complex business, operational, and technical challenges using data.
Lead or participate in large cross-group projects and mentor junior staff members.
Leverage understanding of compliance and risk management to support analytics related to consumer lending portfolios.
Bachelor's degree or higher in Statistics, Mathematics, Engineering, Economics, Finance, Computer Science, Data Science, or related quantitative field.
4+ years of analytics experience in areas such as portfolio management, servicing analytics, collections analytics, or related consumer lending functions.
Proficiency in SAS, SQL, Python, Excel, VBA, Tableau, Power BI, or related analytics and visualization tools.
Experience with large-scale databases including Oracle, Teradata, Hadoop, or cloud-based data platforms.
Experienced in consumer lending domain, especially Auto Lending preferred, with strong knowledge of portfolio performance and servicing operations.
Advanced skills in SAS programming and handling large analytical datasets, combined with ability to develop executive dashboards and operational reporting.
Demonstrated capability to influence business decisions through data-driven insights and collaborate effectively across functional teams.