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Salary
$156k – $244k per year (Estimated)
Location
In office (Wilmington)
Seniority
Senior · 4+ years exp
Overview
Company
Impact
Profile match
JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

We are guided by curiosity, passion, and optimism, and we are dedicated to enabling growth opportunities for everyone. You will join a team that values thoughtful analysis, collaboration, and clear storytelling with data. If you enjoy turning complex data into decisions, you will find meaningful opportunities to grow your career here.

As a Senior Analytics Associate, Marketing Analytics at JPMorganChase within Consumer & Community Banking on the Data & Analytics team, you will leverage your analytical expertise to guide strategic decisions through executive dashboards, ongoing reporting, and deep-dive analyses that address emerging business challenges. You will act as a strategic partner, using data and analytics to accelerate growth, improve campaign performance, and deliver actionable insights. You will work closely with stakeholders to enable informed, data-driven decisions and continuous improvement across the team.

Job responsibilities

  • Manage and analyze large, complex datasets from multiple sources to develop actionable insights that drive measurable outcomes
  • Produce accurate, timely analyses across marketing offer operational performance, trend analysis, campaign performance, and subscriber behavior
  • Communicate analytical results clearly to business partners and senior leaders, tailoring content to different audiences and technical backgrounds
  • Develop and maintain operational dashboards that support business functions and decision-making
  • Partner with cross-functional teams to assess enterprise trends, the competitive environment, and impacts on customer behavior
  • Synthesize high volumes of data into meaningful insights and recommendations that enable action
  • Support business growth targets by translating business needs into concise, insightful analytics on key trends
  • Execute responsibilities with a high degree of autonomy, independently managing workstreams, improving processes, and engaging stakeholders
  • Operate effectively in a fast-paced environment by staying organized, detail-oriented, and able to manage multiple priorities

Required qualifications, capabilities and skills

  • Bachelor’s degree in statistics, economics, mathematics, or engineering with significant quantitative research and data analysis experience
  • 4+ years of applied experience using SQL, Python, Alteryx, and Tableau
  • Experience preparing and integrating large, complex datasets; strong database skills; and the ability to write, optimize, and tune complex SQL queries
  • Demonstrated ability to define metrics, evaluate results, and translate findings into business insights
  • Strong critical and analytical thinking skills with high attention to detail
  • Excellent written and verbal communication skills, including the ability to distill complex findings for senior leaders and non-technical audiences
  • Experience building and maintaining reporting, dashboards, and recurring performance measurement
  • Familiarity with modern analytics platforms and data visualization tools
  • Proven ability to prioritize, problem-solve, and manage multiple deliverables in a deadline-driven environment
  • Experience designing and developing data products, including solutions that leverage artificial intelligence and large language models

Preferred qualifications, capabilities and skills

  • Advanced SQL expertise; proficiency with programming languages such as Python or R
  • Prior exposure to marketing analytics, competitive intelligence, or strategic analytics
  • Strong storytelling through data, with the ability to create clear, influential insights for stakeholder deliverables
  • Highly organized, intellectually curious, and able to prioritize multiple tasks
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