> Markdown version of [/jobs/ext/1217093-quantitative-analytics-associate-co-brand-card-data-analytics](https://www.wearedevelopers.com/jobs/ext/1217093-quantitative-analytics-associate-co-brand-card-data-analytics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Quantitative Analytics Associate - Co-brand Card Data Analytics - **Company:** JPMorgan Chase & Co. - **Location:** Wilmington, DE, United States - **Experience:** Experienced - **Salary:** $80,750.0 - $120,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Big Data, Data Governance, Apache Hadoop, Python (Programming Language), SAS (Software), SQL Databases, Tableau (Software), Apache Spark, Data Analytics, Data Management, Tools for Reporting - **Published:** July 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=578b0be65a06aa7b ## About the Role * 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) ## 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., * 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 ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria)