Analytics Manager, Credit Cards

This is a fully remote position, open to applicants in California.

📋 Description

• Act as a driving force to enable strategic operations within the card business functions through data utilization.

• Facilitate the assessment of competing priorities among business functions and develop suitable, scalable solutions.

• Propel business expansion by uncovering new opportunities and formulating hypotheses based on data analysis across Credit Risk, Portfolio Management, Fraud, and Marketing.

• Independently oversee cross-functional collaborations with Product, Engineering, Operations, Credit Risk, and executive leadership.

• Persuade stakeholders by delivering clear communications and data-informed recommendations.

• Create A/B test designs to implement a comprehensive test-and-learn strategy.

• Conduct ad-hoc analyses ranging from exploratory data analysis to in-depth root cause investigations.

• Examine Credit Card engagement and performance metrics to identify trends and strategies that can boost card usage and utilization.

• Collaborate with Data Engineering and Product teams to develop sustainable and scalable data solutions that meet the current and future demands of the business.

• Take ownership of and manage BI reports, becoming the central point for the business's data and analytics requirements.

• Utilize AI tools to enhance analytical efficiency and promote data accessibility through self-service agents and tools.

⛳️ Requirements

• Over 6 years of experience in Analytics, Data Science, Decision Science, Credit Risk, or a related quantitative field.

• More than 4 years of experience supporting Credit Card portfolios, with extensive knowledge in Credit Risk, Portfolio Management, Fraud Analytics, or Consumer Lending.

• At least 4 years of experience working with SQL, alongside a willingness to learn new technical skills.

• A minimum of 4 years of experience with major BI platforms such as Tableau or Sigma.

• Over 2 years of hands-on experience utilizing Python or R for analytical problem-solving.

• Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Computer Science, Analytics, or another quantitative discipline (Master's degree is preferred).

• Technically proficient and eager to drive projects from start to finish.

• Committed to tackling real-world challenges with data-driven solutions.

• Possess a growth-oriented mindset with proactive ownership of responsibilities.

• An 80/20 mindset—focused on delivering significant business impact efficiently while ensuring analytical integrity.

• Strong communication skills, capable of simplifying complex analytical insights.

🏝️ Benefits

• Unlimited PTO

• Comprehensive health benefits (Medical, Dental, Vision, Life, EAP, Parental Leave, HSA, & more)

• Newly added HSA and Pet Insurance

• 401(k) with company match

• Cell Phone Stipend

• Team-based strategic planning and ownership of deliverables