Quantitative Analytics Associate - Co-brand Card Data Analytics

JPMorgan Chase & Co.; Wilmington (DE); On-site; USD 90,000 - 130,000; Full time

Job summary

JPMorganChase & Co. is seeking a Quantitative Analytics Associate in its Co-brand Credit Card Analytics team.

You will develop analytical plans to understand and improve portfolio performance across the customer lifecycle, from acquisition to retention, partnering with product, marketing, finance, and data teams to align insights with business priorities. You will translate findings into actionable recommendations for partnership strategy, rewards optimization, and customer experience

Qualifications

• Bachelor’s degree in a quantitative field or equivalent; 2+ years of applied data analytics experience
• Proficiency in SQL and experience with large, complex datasets
• Experience using Python, R, or SAS for analysis and communicating insights
• Strong analytical and problem-solving abilities; ability to structure ambiguous questions
• Clear communication of complex information to technical and non-technical audiences
• Proven stakeholder management and data-driven decision influence
• Demonstrated collaboration across teams and levels of seniority
• High attention to detail and a governance-minded approach

Responsibilities

• Execute analytics to assess and improve portfolio performance across acquisition economics, spend, engagement, retention, and attrition
• Develop measurement approaches to identify key drivers and quantify opportunities
• Translate 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 with data accuracy, documentation, and governance
• Automate and scale analytics using modern tools to improve efficiency and reliability

Skills

SQL

Python/R/SAS

Communication

Stakeholder management

Analytical thinking

Collaboration

Attention to detail

Data governance

Education

Bachelor’s degree in quantitative field

Advanced degree (optional)

Tools

Tableau

Spark

Hadoop

Job description

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.

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)