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.
Job responsibilities- Develop, maintain, and optimize marketing lists for co-brand credit card campaigns, ensuring accuracy and alignment to partner requirements
- Collaborate with marketing stakeholders to understand campaign objectives, target segments, and business goals
- 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
- 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
- Document processes and maintain clear communication with internal and external partners
- Coach and mentor analysts on the team
- 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
- 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
- Experience working with data governance, privacy, and regulatory requirements in marketing
- Strong analytical, problem-solving, and communication skills
- Ability to work collaboratively in a cross-functional environment
- Experience supporting credit card partnerships or partner-led marketing campaigns
- Familiarity with campaign management tools and customer relationship management platforms
- Knowledge of customer segmentation and marketing analytics techniques
- Experience with predictive modeling to support targeting and optimization
- Experience applying multi-channel marketing analytics to improve campaign performance
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the TeamSkills Required
- Formal training or certification in software engineering concepts and 5+ years of applied experience
- Bachelor’s degree in a relevant quantitative field and 5+ years of data analytics experience, or an advanced degree and 2+ years of experience
- Exceptional analytical, quantitative, problem-solving, and communication skills
- Leadership and collaboration skills
- Knowledge of statistical software such as Python, R, or SAS and data querying languages such as SQL
- Familiarity with Generative AI and prompt engineering fundamentals, including prompt design, evaluation, and guardrails
- Experience with modern analytics tools such as SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, or Alteryx
- Ability to communicate complex information to technical and non-technical audiences
- Experience with LLM-enabled applications, including retrieval-augmented generation, unstructured-text classification or extraction, or agent-like workflows
- Exposure to evaluation methods for quality, cost, and latency
- Understanding of credit card profit and loss drivers
- Financial services experience
- Master of Science degree or equivalent
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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