Senior Marketing Analytics Engineer - Paid Media

GeneracWaukesha, WI
13d$95,000 - $120,000

About The Position

We are Generac, a leading energy technology company committed to powering a smarter world. Over the 60 plus years of Generac’s history, we’ve been dedicated to energy innovation. From creating the home standby generator market category, to our current evolution into an energy technology solutions company, we continue to push new boundaries. 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.

Requirements

  • Education: Bachelor’s degree in data science, Computer Science, Statistics, or a related field is required
  • Experience: 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.
  • Technical Skills: 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.
  • Analytical Skills: Ability to analyze large, complex datasets to identify trends and deliver actionable insights. Strong understanding of business metrics and forecasting techniques.
  • Soft Skills: Proven ability to collaborate effectively within a team and with cross-functional stakeholders. Exceptional attention to detail with a commitment to accuracy and timeliness.

Responsibilities

  • Analytics Leadership: Manage analytics workstreams focused on media performance measurement and marketing attribution. Conduct ad hoc and deep-dive analyses aligned with team priorities.
  • Collaboration: 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.
  • Reporting Development: Design and optimize reporting frameworks, ensuring timely and accurate delivery across the organization. Create and maintain dashboards to monitor strategic KPIs.
  • Data Integration: 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.
  • Performance Metrics: Develop and refine performance metrics to measure and enhance business outcomes. Implement dashboards and reports to support strategic decision-making.
  • Process Improvement: Lead initiatives to enhance reporting processes and automation. Identify and implement workflow improvements to deliver actionable insights.
  • Advanced Analytics: Develop and present benchmark reports using advanced analytics techniques. Create and deploy predictive models

Benefits

  • This role is eligible for variable compensation including short term and long-term incentives.
  • This position includes a comprehensive benefit package that includes medical, dental and vision plans; life, long-term disability, flexible spending and health savings accounts, accrued paid time off, paid Holidays and 401(k) retirement benefits.
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