Live opening · Posted 3 days ago

Small Business Card Data Analytics Team - Quant Analytics Senior Associate

JPMorgan Chase · Wilmington, DE, United States
Oracle
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyJPMorgan Chase
LocationWilmington, DE, United States
SourceOracle
Listed3 days ago

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About the role

Description supplied by the original job listing.

Join a team where your analytics directly shape how we acquire, engage, and serve small business customers—while helping improve product experiences and profitability through data-driven decisions.
As a Quantitative Analytics Senior Associate, within the Small Business Card team, you will assess portfolio performance, build executive-ready reporting, and translate customer behavior (spend, payment, and engagement) into insights that inform marketing strategy, resource allocation, and product innovation and partner across marketing, product, finance, and risk to turn complex analysis into clear recommendations and measurable outcomes.
Job responsibilities:
Manage and analyze large, complex datasets from multiple sources to develop actionable insights that drive measurable business outcomes and apply advanced analytical and data mining techniques to identify meaningful patterns and translate findings into customer behavioral insights
Communicate analytical results clearly to business partners and senior leaders, tailoring messages to different audiences and levels of technical depth and conduct deep-dive analyses to support marketing, finance, and broader business priorities using modern visualization and reporting tools
Serve as a subject matter resource for data-driven decision-making by advising on analytical approaches, methods, and measurement and partner with internal stakeholders to solve quantitative business problems, optimize performance, and deliver practical solutions to critical needs
Collaborate with data owners and managers to contribute to data models, analytics architecture, and scalable data strategies and identify process improvement opportunities by assessing data quality, surfacing statistical anomalies, and linking insights to business processes
Manage deliverables with a high degree of autonomy, including program execution, stakeholder engagement, and continuous process refinement
Use generative artificial intelligence and emerging tools to automate repetitive work, accelerate insight generation, and improve decision-making workflows
Evaluate and pilot artificial intelligence-enabled analytics solutions that support marketing acquisition strategy and ongoing performance measurement
Required qualifications, capabilities and skills
Bachelor’s degree in a quantitative field (for example: Computer Science, Operations Research, Mathematics, Engineering, Econometrics, Statistics, or related discipline) with 3+ years of relevant experience, or an advanced degree with 2+ years of experience
Proficiency in Python for data analysis and statistical modeling and strong SQL skills and experience extracting, transforming, and analyzing data from relational databases
Experience working with modern data platforms such as Snowflake, Databricks, or equivalent technologies and experience applying data mining and analytical methodologies to translate analysis into business actions
Experience creating dashboards, visualizations, or recurring reporting using tools such as Tableau, Alteryx, or comparable platforms
Demonstrated ability to present analytical findings clearly in writing and verbally to senior leaders and non-technical stakeholders
Demonstrated ability to collaborate effectively with cross-functional partners and influence decisions through data-backed recommendations
Experience using emerging technologies, including generative artificial intelligence tools, to improve analytical productivity and workflow efficiency
Preferred qualifications, capabilities and skills
Experience developing executive-ready dashboards and performance measurement frameworks for marketing and portfolio analytics
Demonstrated 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 artificial intelligence, large language models, artificial intelligence-assisted coding tools, or workflow automation platforms

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