Analytics & Reposting Manager

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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

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.

• 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.

• 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.

• 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.
• Medical, dental, vision, life insurance, 401(k) plans, paid time off, and equity awards, along with team-building activities like volunteer outings and educational opportunities such as financial health webinars and training sessions.