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Senior Marketing Analytics Engineer - Paid Media

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Energy Systems

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Location:
United States , Pewaukee

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Contract Type:
Not provided

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Salary:

95000.00 - 120000.00 USD / Year

Job Description:

We are seeking an experienced and analytical Senior Marketing Analytics Engineer - Paid Media to own and drive analytics initiatives related to media performance measurement, marketing attribution, and advanced reporting. The ideal candidate will collaborate across teams to deliver data-driven insights and solutions, supporting strategic goals and enhancing business outcomes.

Job Responsibility:

  • Manage analytics workstreams focused on media performance measurement and marketing attribution
  • Conduct ad hoc and deep-dive analyses aligned with team priorities
  • Partner with data engineering teams to design and build marketing infrastructure that addresses both business and analytical needs
  • Work cross-functionally to analyze the impact of experimentation on marketing metrics
  • Design and optimize reporting frameworks, ensuring timely and accurate delivery across the organization
  • Create and maintain dashboards to monitor strategic KPIs
  • Collaborate with various teams to consolidate data from multiple sources into unified repositories
  • Support integration of sales, operations, and consumer data to enable comprehensive analysis
  • Develop and refine performance metrics to measure and enhance business outcomes
  • Implement dashboards and reports to support strategic decision-making
  • Lead initiatives to enhance reporting processes and automation
  • Identify and implement workflow improvements to deliver actionable insights
  • Develop and present benchmark reports using advanced analytics techniques
  • Create and deploy predictive models

Requirements:

  • Bachelor’s degree in data science, Computer Science, Statistics, or a related field is required
  • Minimum 7 years of experience in data analytics or marketing analytics, with a proven track record in business intelligence and performance reporting
  • Hands-on experience with marketing measurement tools such as multi-touch attribution, media mix modeling, incrementality testing, matched market testing, and A/B testing
  • Advanced proficiency in Power BI and Excel for dashboard creation and data visualization
  • Strong expertise in SQL and familiarity with R or Python
  • Solid knowledge of data modeling and integration techniques
  • Ability to analyze large, complex datasets to identify trends and deliver actionable insights
  • Strong understanding of business metrics and forecasting techniques
  • Proven ability to collaborate effectively within a team and with cross-functional stakeholders
  • Exceptional attention to detail with a commitment to accuracy and timeliness
What we offer:
  • medical, dental and vision plans
  • life, long-term disability, flexible spending and health savings accounts
  • accrued paid time off
  • paid Holidays
  • 401(k) retirement benefits
  • variable compensation including short term and long-term incentives

Additional Information:

Job Posted:
February 20, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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