Senior Analytics Associate, Marketing Analytics

JPMorgan Chase & Co.•Wilmington, DE
•$109,250 - $165,000

About The Position

As a Senior Analytics Associate, Marketing Analytics, within JPMorganChase’s Consumer & Community Banking Data & Analytics team, you will use analytical expertise to guide strategic decisions through executive dashboards, ongoing reporting, and deep-dive analyses. You will act as a strategic partner, applying data and analytics to accelerate growth, improve campaign performance, and deliver actionable insights. The role involves working with stakeholders to enable informed, data-driven decisions and continuous improvement. The CCB Data & Analytics team uses data across Chase to build competitive advantages while providing value and protection for customers. Its disciplines include data governance and strategy, reporting, data science, and machine learning, supported by a close partnership with Technology.

Requirements

  • Bachelor’s degree in statistics, economics, mathematics, or engineering, with significant quantitative research and data analysis experience.
  • At least 4 years of applied experience using SQL, Python, Alteryx, and Tableau.
  • Experience preparing and integrating large, complex datasets; strong database skills; and ability to write, optimize, and tune complex SQL queries.
  • Ability to define metrics, evaluate results, and translate findings into business insights.
  • Strong critical and analytical thinking skills and 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.
  • Ability to prioritize, solve problems, 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.

Nice To Haves

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

Responsibilities

  • Manage and analyze large, complex datasets from multiple sources to develop actionable insights and measurable outcomes.
  • Produce accurate, timely analyses of marketing offer operational performance, trends, campaign performance, and subscriber behavior.
  • Communicate analytical results 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.
  • Independently manage workstreams, improve processes, and engage stakeholders with a high degree of autonomy.
  • Stay organized and detail-oriented while managing multiple priorities in a fast-paced environment.

Benefits

  • Competitive total rewards package, including base salary and, for eligible roles, 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.
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