Strategic Credit Card Analytics Manager

JPMorgan Chase & Co.; Wilmington (DE); On-site; USD 120,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. in Wilmington, DE is seeking an Analytics Manager for the Credit Card marketing analytics team. You will translate business questions into analytical approaches and deliver insights that influence strategy and outcomes.

You will generate targeted marketing lists for co-brand campaigns, collaborate with marketing, product, and partners, ensure data quality and compliance, and help build scalable analytics workflows using SAS, Snowflake, and Python.

Qualifications

• Requires a Bachelor's or Master's degree in Analytics, Marketing, Business, CS, or related field.
• Experience in credit card marketing or financial services.
• Strong analytical, problem-solving, and communication skills.
• Ability to work across marketing, product, and partner stakeholders.

Responsibilities

• Develop, maintain, and optimize marketing lists for co-brand campaigns.
• Collaborate with marketing to align objectives and audiences.
• Apply credit card marketing knowledge to inform segmentation.
• Use SAS, Snowflake, and Python to extract and analyze data.
• Design automated workflows for list generation and campaign tracking.
• Ensure data quality, privacy, and regulatory compliance.
• Deliver insights to improve campaign effectiveness.
• Document processes and communicate with partners.
• Coach and mentor analysts on the team.

Skills

Analytical mindset

Communication skills

Team collaboration

Credit card marketing knowledge

Education

Bachelor's or Master's degree in Analytics, Marketing, Business, CS

Tools

SAS

Snowflake

Python

Job description

JPMorgan Chase & Co. in Wilmington, DE is seeking an Analytics Manager for the Credit Card marketing analytics team. You will translate business questions into analytical approaches and deliver insights that influence strategy and outcomes.

You will generate targeted marketing lists for co-brand campaigns, collaborate with marketing, product, and partners, ensure data quality and compliance, and help build scalable analytics workflows using SAS, Snowflake, and Python.