Marketing Analytics-Senior Associate

JPMorganChase•Wilmington, NC

About The Position

As a Marketing Analytics Senior Associate in Small Business Decision Sciences, you will deliver analytics solutions across the full marketing campaign lifecycle to drive measurable acquisition growth. You will help shape how marketing acquisition campaigns are planned, tested, and measured, translating business goals into testable strategies, rigorous measurement plans, and stakeholder-ready insights. The role involves close collaboration with marketing, modeling, finance, and data teams to design, execute, and evaluate campaigns using strong governance and repeatable methods. Your analysis will inform investment, targeting, and decisions about incremental value.

Requirements

  • Bachelor’s degree in an applicable field.
  • 3+ years of marketing data and analytics experience.
  • Proficiency in data analysis languages or tools such as SQL, Python, SAS, R, or comparable tools.
  • Experience with relational databases and big data platforms, including Snowflake.
  • Hands-on experience delivering financial analytics and performance insights, including test design, pro forma estimates, and actual results measurement.
  • Ability to influence and communicate with senior stakeholders using clear, concise narratives.
  • Experience supporting marketing strategy and end-to-end campaign execution.
  • Strong analytical reasoning and structured problem-solving skills, with the ability to translate complex data into actionable insights.
  • Working knowledge of extract, transform, and load concepts and how data pipelines affect analytics outcomes.
  • Experience building or using dynamic, self-serve reporting solutions and automated dashboards.

Nice To Haves

  • Experience using attribution and incrementality measurement approaches across multiple channels.
  • Experience with scalable measurement frameworks that support auditability and repeatability.
  • Advanced experimentation expertise, including power considerations and practical test constraints.

Responsibilities

  • Support financial and analytical optimization across the campaign lifecycle, from opportunity sizing through performance measurement.
  • Execute experimentation strategies by framing hypotheses, designing test and control approaches, and aligning on success metrics.
  • Support campaign execution by validating audience selection, measurement feasibility, and operational requirements.
  • Build impact models and financial business cases to guide audience, offer, channel, and funding decisions.
  • Develop reusable frameworks to evaluate incrementality, profitability, and return on investment using forecasts versus actual results.
  • Produce clear performance reporting and post-test readouts with actionable recommendations for senior stakeholders.
  • Leverage and help evolve analytic tooling and data environments to improve the speed, scale, and consistency of insights.
  • Partner across modeling, finance, channels, and delivery teams to ensure solutions are implementable and aligned to standards.
  • Define and advocate for data requirements, including addressing data gaps, data quality, and lineage considerations.
  • Coach and develop junior team members on analytical methods, documentation practices, and stakeholder-ready storytelling.
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