Marketing Analytics Associate - Card Data & Analytics

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. As a Marketing Analytics Associate, you will translate customer behavioral data into insights that inform digital marketing strategies and influence new card acquisitions.

What you'll do:

• Devise and evaluate methods and procedures for collecting and validating data across digital channels
• Analyze customer behavior and campaign performance to identify actionable opportunities to improve acquisition outcomes
• Partner with digital channel marketing and product teams to deliver insights that inform strategy and execution
• Build concise, timely analytics on key trends from large datasets to support growth targets
• Synthesize complex analyses into clear recommendations for marketing strategy and audience decisioning
• Measure and report results of A/B (split) tests and other experiments to guide optimization decisions
• Develop and maintain reporting and performance measurement to support ongoing decision-making
• Present insights and recommendations to senior stakeholders through clear narratives and data visualizations

What they're looking for:

• Bachelor's degree in a quantitative field (for example, Statistics, Economics, Applied Mathematics, Operations Research, Physics, or Data Science)
• 1+ years of applied analytics experience (for example, digital analytics, customer analytics, marketing analytics, sales analytics, or business insights)
• Strong data querying and data mining skills using SQL
• Applied experience using Python for analysis (for example, data wrangling, exploratory analysis, and measurement)
• Experience with business intelligence and visualization tools (for example, Tableau)
• Ability to translate analytical findings into clear, actionable recommendations for non-technical stakeholders
• Strong written and verbal communication skills, including comfort presenting to senior audiences
• Demonstrated ability to collaborate effectively across marketing, product, and data stakeholders
• Master's degree in a quantitative field
• Working knowledge of data science techniques (for example, segmentation and machine learning concepts)
• Experience with digital analytics and marketing tools (for example, Adobe Analytics and Alteryx)
• Experience defining key performance indicators and establishing measurement frameworks

Benefits:

• Comprehensive health care coverage
• On-site health and wellness centers
• A retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching