Quantitative Analytics Associate - Co-brand Card Data Analytics

JPMorgan Chase & Co.•Wilmington, DE

2d•$80,750 - $120,000

About The Position

Join a team where your analyses directly influence partnership strategy and cardholder experiences. You will turn complex portfolio signals into clear insights that help improve engagement, optimize rewards, and strengthen long-term customer relationships. As a Quantitative Analytics Associate at JPMorganChase within the Co-brand Credit Card Analytics team, you will develop and execute analytical plans to understand and improve portfolio performance across the customer lifecycle—from acquisition and activation to retention and attrition. You will partner closely with product, marketing, finance, operations, and data teams to align insights to business priorities. Your work will be highly visible and used to inform partnership strategy, value proposition decisions, and customer experience enhancements.

Requirements

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

Nice To Haves

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)

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