Analytics & Reporting Manager

Apply now: Analytics & Reporting Manager, location is Hybrid (3 days onsite in Wilmington, DE or Atlanta, GA). The start date is 2 weeks from offer for this permanent position. Job Title: Analytics & Reporting Manager Location-Type: Hybrid 3 days a week in Wilmington, DE or Atlanta, GA) Start Date Is: 2 weeks from offer Duration: Permanent Compensation Range: $120,000 - $150,000 base salary Benefits - The position is eligible for medical, dental, vision, and 401(k).Job Description: Lead a global credit card analytics and reporting function, driving team performance, executive reporting, data governance, and scalable analytics solutions within a fast-paced financial services environment. Day-to-Day Responsibilities: Lead and mentor an international analytics and reporting team (including offshore team management). Own executive, operational, and regulatory reporting for credit card portfolios. Translate business requirements into scalable SQL/SAS analytics solutions. Oversee data quality, reconciliation, governance, and validation processes. Partner cross-functionally to align analytics delivery with business strategy. Evaluate pipeline processes and reporting flows between internal systems and third-party platforms (e.g., Client). Drive experimentation using AI tools (e.g., LLMs, generative AI) to enhance analytics efficiency. Support portfolio performance analytics including customer lifecycle, collections, delinquency, and revenue performance. Requirements: Must-Haves: 7 years of experience in financial services or fintech environments. 5 years within U.S. credit card analytics (deep understanding of credit card lifecycle, over-limit fees, collections, delinquency metrics). 3 years managing analytics teams, including offshore teams. Advanced SQL and SAS coding expertise. Experience with data governance, data quality checks, and reporting validation. Strong understanding of performance-based portfolio analytics. Excellent written and verbal communication skills; client-facing presence required. Exposure to AI tools such as generative AI or LLM platforms (experimentation-focused, not pure modeling). Ability to pass a credit background check. Nice-to-Haves: Experience with Client or similar financial systems. Python or R experience. Tableau or other BI visualization tools. Experience modernizing reporting platforms or building metadata dictionaries. Regulatory or audit exposure within financial services.

Created: 2026-03-04