Analytics Manager, Credit Cards

Job Description

Responsibilities

What You’ll Do:

• Be a catalyst to help the card business functions operate strategically using data.
• Drive evaluation of competing priorities across business functions and appropriate disposition solutions that are right-sized and scalable.
• Drive business growth by identifying new opportunities and hypothesis development using data across Credit Risk, Portfolio management, Fraud and marketing.
• Independently manage cross-functional relationships across Product, Engineering, Operations, Credit Risk, and executive leadership.
• Influence stakeholders through clear communication and data-driven recommendations.
• Develop A/B test designs to implement a robust test and learn strategy.
• Perform ad-hoc analysis ranging from open exploration data analysis to specific root cause analysis.
• Analyze Credit Card engagement and credit performance and identify levers and patterns that can increase card usage and utilization.
• Liaison with Data Engineering and Product to build sustainable and scalable data solutions to address business’ current and future needs.
• Own and manage BI reports becoming a focal point for business’ data and analytics needs.
• Leverage AI tools to accelerate analytical velocity and democratize data through self-service agents and tools.

What you’ll bring:

• 6+ years of experience in Analytics, Data Science, Decision Science, Credit Risk, or a related quantitative function.
• Must have 4+ years supporting Credit Card portfolios, with deep experience in Credit Risk, Portfolio Management, Fraud Analytics, or Consumer Lending.
• 4+ years of working with and proficient in SQL and excited about acquiring new technical skills.
• 4+ years working with major BI platforms like Tableau or Sigma.
• 2+ years of hands-on experience in using Python or R to solve analytical problems.
• Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, Computer Science, Analytics, or another quantitative field (Master’s degree preferred).
• Hands-on technically and excited to drive things end-to-end.
• Passionate about solving real-world problems with data.
• Have a growth mindset and take proactive ownership.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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