Small Business Card Data Analytics Team - Quant Analytics Senior Associate

JPMorgan Chase & Co. • Wilmington, DE

6d • $99,750 - $155,000

About The Position

The Quantitative Analytics Senior Associate will join the Small Business Card team and use analytics to shape customer acquisition, engagement, and service, while improving product experiences and profitability. The role assesses portfolio performance, develops executive-ready reporting, and translates customer spending, payment, and engagement behavior into insights that inform marketing strategy, resource allocation, and product innovation. The position partners with marketing, product, finance, risk, and other stakeholders to turn complex analysis into clear recommendations and measurable outcomes.

The role manages and analyzes large, complex datasets, applies advanced analytical and data-mining techniques, communicates findings to business partners and senior leaders, and advises stakeholders on analytical methods and measurement. It also contributes to data models, analytics architecture, scalable data strategies, and process improvements. The associate manages deliverables autonomously and uses generative AI and other emerging tools to automate repetitive work, accelerate insight generation, improve decision workflows, and pilot AI-enabled analytics solutions for marketing acquisition and performance measurement.

Requirements

• Bachelor’s degree in a quantitative field such as Computer Science, Operations Research, Mathematics, Engineering, Econometrics, or Statistics, with 3+ years of relevant experience; alternatively, an advanced degree with 2+ years of experience.
• Proficiency in Python for data analysis and statistical modeling.
• Strong SQL skills and experience extracting, transforming, and analyzing data from relational databases.
• Experience with modern data platforms such as Snowflake, Databricks, or equivalent technologies.
• Experience applying data-mining and analytical methodologies to translate analysis into business actions.
• Experience creating dashboards, visualizations, or recurring reporting with tools such as Tableau, Alteryx, or comparable platforms.
• Ability to present analytical findings clearly in writing and verbally to senior leaders and non-technical stakeholders.
• Ability to collaborate effectively with cross-functional partners and influence decisions through data-backed recommendations.
• Experience using emerging technologies, including generative AI tools, to improve analytical productivity and workflow efficiency.

Nice To Haves

• Experience developing executive-ready dashboards and performance measurement frameworks for marketing and portfolio analytics.
• Ability to influence prioritization and decisions through structured analytics storytelling and clear recommendations.
• Experience identifying and scaling process improvements that improve data quality, repeatability, and reporting efficiency.
• Expertise with generative AI, large language models, AI-assisted coding tools, or workflow automation platforms.

Responsibilities

• Manage and analyze large, complex datasets from multiple sources to develop actionable insights and measurable business outcomes.
• Apply advanced analytical and data-mining techniques to identify patterns and translate findings into customer behavioral insights.
• Communicate analytical results to business partners and senior leaders, tailoring messages to different audiences and levels of technical depth.
• Conduct deep-dive analyses supporting marketing, finance, and broader business priorities using modern visualization and reporting tools.
• Advise as a subject matter resource on analytical approaches, methods, and measurement for data-driven decision-making.
• Partner with internal stakeholders to solve quantitative business problems, optimize performance, and deliver practical solutions.
• Collaborate with data owners and managers on data models, analytics architecture, and scalable data strategies.
• Identify process improvement opportunities by assessing data quality, surfacing statistical anomalies, and linking insights to business processes.
• Manage deliverables autonomously, including program execution, stakeholder engagement, and continuous process refinement.
• Use generative AI and emerging tools to automate repetitive work, accelerate insight generation, and improve decision-making workflows.
• Evaluate and pilot AI-enabled analytics solutions supporting marketing acquisition strategy and ongoing performance measurement.

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior