Analytics & Reporting Manager
Wilmington, DE, 19801
Reference ID: 31881930
Date Posted: 02/21/2026
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
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:
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Lead and mentor an international analytics and reporting team (including offshore team management).
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Own executive, operational, and regulatory reporting for credit card portfolios.
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Translate business requirements into scalable SQL/SAS analytics solutions.
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Oversee data quality, reconciliation, governance, and validation processes.
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Partner cross-functionally to align analytics delivery with business strategy.
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Evaluate pipeline processes and reporting flows between internal systems and third-party platforms (e.g., Client).
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Drive experimentation using AI tools (e.g., LLMs, generative AI) to enhance analytics efficiency.
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Support portfolio performance analytics including customer lifecycle, collections, delinquency, and revenue performance.
Requirements:
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Must-Haves:
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7 years of experience in financial services or fintech environments.
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5 years within U.S. credit card analytics (deep understanding of credit card lifecycle, over-limit fees, collections, delinquency metrics).
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3 years managing analytics teams, including offshore teams.
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Advanced SQL and SAS coding expertise.
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Experience with data governance, data quality checks, and reporting validation.
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Strong understanding of performance-based portfolio analytics.
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Excellent written and verbal communication skills; client-facing presence required.
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Exposure to AI tools such as generative AI or LLM platforms (experimentation-focused, not pure modeling).
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Ability to pass a credit background check.
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Nice-to-Haves:
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Experience with Client or similar financial systems.
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Python or R experience.
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Tableau or other BI visualization tools.
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Experience modernizing reporting platforms or building metadata dictionaries.
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Regulatory or audit exposure within financial services.
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