Pay
$154K–$226K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,007 postings in the last year. Stated ranges, not salaries paid.
Wilmington, DE, United States
Live, first seen by us 39 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Develop, maintain, and optimize marketing lists for co-brand credit card campaigns
Design and implement automated workflows for list generation and campaign tracking
Validate data quality and apply controls for privacy and regulatory compliance
Deliver insights and recommendations to improve campaign effectiveness and targeting
Coach and mentor analysts on the team
Develop, maintain, and optimize marketing lists for co-brand credit card campaigns
Design and implement automated workflows for list generation and campaign tracking
Validate data quality and apply controls to support privacy and regulatory compliance in marketing activities
Deliver insights and recommendations to improve campaign effectiveness and customer targeting
Coach and mentor analysts on the team
Required qualifications, capabilities, and skills - Bachelor’s or Master’s degree in Analytics, Marketing, Business, Computer Science, or related field - Experience in credit card marketing or financial services with demonstrated understanding of marketing activities and processes
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$154K–$226K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,007 postings in the last year. Stated ranges, not salaries paid.
Day 39
Similar jobs usually come down between day 7 and day 55.
Well past JPMorgan Chase’s usual: its jobs come down by about day 15.
From 8,398 similar postings that came down, and 933 of JPMorgan Chase’s. Coming down is not always a hire.
379 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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As an Analytics Manager in our Credit Card marketing analytics team, you’ll generate targeted marketing lists that support co-brand partner campaigns and help ensure the right customers receive the right offers. You’ll work closely with marketing, product, and partner stakeholders to align targeting to campaign goals, while maintaining strong data quality and compliance standards. You’ll also bring a multi-channel analytics mindset to uncover insights and optimize campaign performance. You’ll use SAS, Snowflake, and Python to extract, transform, and analyze data from multiple sources, and you’ll help build repeatable, automated workflows that enable scalable execution. You’ll be a trusted partner who can connect analytics work to business decisions, and you’ll support the team by coaching and mentoring analysts. Job responsibilities
- Apply credit card marketing knowledge (acquisition, retention, cross-sell) to inform list generation and segmentation strategies - Use SAS, Snowflake, and Python to extract, transform, and analyze data from multiple sources - Design and implement automated workflows for list generation and campaign tracking
- Advanced proficiency in Snowflake for data extraction and analysis - Advanced proficiency in Python for data manipulation and analysis - Experience working with data governance, privacy, and regulatory requirements in marketing
- Experience in credit card marketing or financial services with demonstrated understanding of marketing activities and processes - Advanced proficiency in SAS for data manipulation and analysis - Advanced proficiency in Snowflake for data extraction and analysis
- Advanced proficiency in SAS for data manipulation and analysis - Advanced proficiency in Snowflake for data extraction and analysis - Advanced proficiency in Python for data manipulation and analysis
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New Data Leadership postings at the employers we follow are up 7% 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.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Help shape how data and insights drive decisions across our Credit Card business. You’ll tackle high-impact problems end-to-end—translating business questions into analytical approaches and communicating insights that influence strategy and outcomes. You’ll join a collaborative team where your work can directly improve customer and business experiences through responsible, scalable analytics.
As an Analytics Manager in our Credit Card marketing analytics team, you’ll generate targeted marketing lists that support co-brand partner campaigns and help ensure the right customers receive the right offers. You’ll work closely with marketing, product, and partner stakeholders to align targeting to campaign goals, while maintaining strong data quality and compliance standards. You’ll also bring a multi-channel analytics mindset to uncover insights and optimize campaign performance.
You’ll use SAS, Snowflake, and Python to extract, transform, and analyze data from multiple sources, and you’ll help build repeatable, automated workflows that enable scalable execution. You’ll be a trusted partner who can connect analytics work to business decisions, and you’ll support the team by coaching and mentoring analysts.
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Wilmington, DE, United States
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