Quantitative Analytics Associate - Co-brand Card Data Analytics

Job Responsibilities

• Execute analytics to assess and improve portfolio performance across acquisition economics, spend, engagement, retention, and attrition
• Develop measurement approaches to identify key drivers of performance and quantify opportunity size
• Translate analytical findings into actionable recommendations for partnership strategy, rewards optimization, and customer experience enhancements
• Build and maintain recurring partner reporting and performance narratives for senior stakeholders
• Present insights and recommendations to senior management and partner executives in clear, decision-ready formats
• Partner with cross-functional teams to align analyses to business priorities and drive outcomes
• Maintain a rigorous controls environment by ensuring data accuracy, documentation, and adherence to data governance standards
• Automate and scale analytics using modern tools to improve efficiency, repeatability, and reliability

Required Qualifications, Capabilities and Skills

• Bachelor's degree in a quantitative field and 2+ years of applied data analytics experience, or an advanced degree and two years of applied experience
• Advanced proficiency in SQL and experience working with large, complex datasets
• Experience using statistical and analytics tools (Python, R, or SAS) to conduct analysis and communicate insights
• Strong analytical, quantitative, and problem-solving skills with the ability to structure ambiguous business questions into testable analyses
• Demonstrated ability to communicate complex information clearly to technical and non-technical audiences
• Strong stakeholder management skills, including experience influencing decisions through data-driven recommendations
• Proven collaboration skills and ability to work effectively across teams and levels of seniority
• High attention to detail and a controls mindset, with experience ensuring accuracy and compliance in analytics outputs

Preferred Qualifications, Capabilities and Skills

• Experience in credit card analytics, consumer lending, or payments
• Experience supporting co-brand partnerships, loyalty, or rewards analytics
• Experience with visualization and big data tools (for example, Tableau, Spark, or Hadoop)

About the Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.