Marketing Science Engagement

3 days ago


Chicago, Illinois, United States Jack Full time $104,000 - $123,900 per year

Join a leading
national retail and consumer services company
at the forefront of innovation and data-driven marketing. As the
Manager of Marketing Science Engagement
, you will guide a team of analytical experts who transform data into actionable insights that shape marketing strategies and elevate customer experiences.

In this role, you'll serve as a
strategic bridge between analytics, media, and client success
, driving measurable impact through data storytelling, experimentation, and performance optimization. You'll lead a growing team that powers the company's media collective, influencing campaign effectiveness and audience engagement across multiple channels.

The position is in office 4 days per week and will be based in Boise, Idaho, Pleasanton CA or Chicago, IL.

Benefits

  • Competitive annual salary ranging from
    $95,400 – $123,900
    , with quarterly bonus eligibility.
  • Comprehensive health and financial benefits
    , including medical, dental, vision, life insurance, 401(k), and disability coverage.
  • Paid time off
    , holidays, and flexible scheduling options.
  • Employee discounts
    across stores and products.
  • A
    collaborative culture
    focused on mentorship, learning, and career advancement.
  • Inclusive environment that values
    diversity, growth, and innovation
    .

Responsibilities

  • Lead and mentor a team of analysts delivering actionable, data-driven insights.
  • Oversee full campaign analytics from audience targeting to performance reporting.
  • Translate complex data into clear strategies for clients and internal teams.
  • Partner across departments to enhance measurement, visualization, and innovation.
  • Foster a culture of curiosity, learning, and analytical excellence.

Requirements

  • 5–7 years in marketing analytics or measurement, with 2+ years in leadership.
  • Proficient in SQL, Python/R, and BI tools (Tableau, Looker, or Power BI).
  • Skilled in A/B testing, ROI analysis, and regression modeling.
  • Strong communicator with expertise in retail media and eCommerce analytics.


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