Pay
$94.7K–$145K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,888 postings in the last year. Stated ranges, not salaries paid.
Quantitative Analytics Associate - Co-brand Card Data Analytics
Wilmington, DE, United States
Open 4 months, first seen by us 130 days ago- Pay
- Pay not listedSimilar roles state $95K–$145K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingRun analyses of acquisition, spend, engagement, retention and attrition for the portfolio
Build measurement approaches to find performance drivers and size opportunities
Turn findings into recommendations on partnership strategy, rewards and customer experience
Build and maintain recurring partner reports and performance narratives
Present insights to senior management and partner executives
From the employer’s posting
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
Education & alternatives
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
Posting record
Report an errorOpen 4 monthsWe first saw this posting 130 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 1, 2026130 days ago
- Recorded sightings
- 208
- Last seen by us
- Nov 8, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 130
Up longer than most. Similar jobs usually come down between day 5 and day 41.
Well past JPMorgan Chase’s usual: its jobs come down by about day 15.
From 11,696 similar postings that came down, and 933 of JPMorgan Chase’s. Coming down is not always a hire.
JPMorgan Chase is hiring
379 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
- 3% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SAS
- SQL
- Hadoop
- Spark
- Tableau
Where the posting names them
- 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
- 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
- Experience supporting co-brand partnerships, loyalty, or rewards analytics - Experience with visualization and big data tools (for example, Tableau, Spark, or Hadoop)
Your next step
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
- Applying starts by asking for your email address.
- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
About JPMorgan Chase
- People
- About 318,512 in 2025.Annual report (SEC Form 10-K)
- Company
- Listed as JPM.
- Layoff notices
- Notices this year and last cover 152 people. The latest was filed March 23, 2026.State WARN notices
Demand for Analyst roles
New Analyst postings at the employers we follow are up 18% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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)
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Wilmington, DE, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.