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

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.