Data Science Senior Associate Consumer Bank Marketing Analytics

Join a talented and diverse group of analysts driving strategy and innovation across Chase Consumer Bank using data-driven approaches. You will help shape how we measure impact learn quickly and optimize investment by translating complex data into clear actionable insights.

As a Data Science Senior Associateat JPMorganChase within Consumer Bank Marketing Analytics you will own measurement and testing for Chase First Banking marketing campaigns. You will partner closely with stakeholders to design experiments evaluate performance and deliver recommendations that strengthen long-term customer relationships and improve retentionwhile contributing to an inclusive and collaborative team culture.

Job responsibilities

• Lead analytics strategy planning and execution for Chase First Banking marketing campaigns
• Deliver regular campaign performance measurement and reporting
• Conduct unstructured ad hoc analyses of customer behavior and engagement
• Execute A/B and incrementality test readouts including interpretation and recommendations
• Perform profitability optimization and return-on-investment analyses to inform investment decisions
• Consult on experimental design and data collection developing new measurement approaches with stakeholders and partner teams
• Translate results into clear narratives and present insights to stakeholders and senior management
• Contribute to innovation initiatives that advance analytics methods and scalability
• Collaborate across Marketing Analytics and Test Design teams while supporting an inclusive team environment
• Maintain a rigorous controls environment to ensure accurate timely and reproducible results

Required qualifications capabilities and skills

• Bachelors degree in a quantitative discipline (e.g. Data Science/Analytics Mathematics Statistics Physics Engineering Economics Finance or related field)
• 3 years of experience applying statistical methods to real-world business problems
• 3 years of experience using SQL and at least one of the following: SAS Python or R
• Demonstrated experience using AI-assisted development tools (e.g. GitHub Copilot Claude Code or similar) to accelerate analysis and code development
• Experience using data visualization techniques for analysis and stakeholder-ready storytelling
• Hands-on experience with A/B and incrementality testing methodologies including experimental design significance evaluation and translating results into business recommendations
• Experience with web analytics tools (e.g. Google Analytics Adobe/Omniture Insight/Visual Sciences Webtrends CoreMetrics etc.)
• Strong written and verbal communication and presentation skills with experience communicating effectively across levels and partner groups
• Masters degree in a quantitative discipline (e.g. Data Science/Analytics Mathematics Statistics Physics Engineering Economics Finance or related field)

Preferred qualifications capabilities and skills

• Intellectual curiosity and motivation to build deep subject matter expertise in a focus area
• Strategic thinking with an ability to stay anchored to measurable business goals
• Strong organization skills with the ability to prioritize multiple workstreams effectively
• Strong relationship-building skills and comfort partnering with key stakeholders
• Tableau preferred.