Senior Marketing Analytics Engineer - Paid Media

Generac Power Systems • Pewaukee, WI

5d

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. The Senior Marketing Analytics Engineer leads complex analytical initiatives, from defining data strategy to deploying predictive models that drive business effectiveness. This role partners across marketing, engineering, and executive leadership to influence strategic decisions, guide experimentation design, and scale self-service analytics. It combines deep technical skills with strong business acumen and mentorship.

Requirements

• Bachelor’s degree in data science, Computer Science, Statistics, Analytics, or a related field is required.
• 5+ years in analytics, with significant experience in data strategy and predictive analytics.
• Demonstrated experience in media mix modeling, multi-touch attribution, incrementality testing, and A/B testing.
• Expert-level SQL and Python (or R).
• Deep experience with data modeling, cloud platforms (e.g., Databricks), and large-scale data systems.
• Advanced proficiency in BI tools and statistical modeling packages.
• Strong stakeholder management, including influencing without authority.
• Proven experience translating analytics into business strategy and executive narratives.

Nice To Haves

• Master’s degree in a quantitative field

Responsibilities

• Strategic Collaboration & Influence: Act as a thought partner to leaders, identifying opportunities for analytics to improve ROI and customer engagement. Lead requirements gathering for complex, cross-functional initiatives.
• Architecture & Reporting Strategy: Architect scalable reporting frameworks and advanced data models across the ecosystem. Oversee the delivery of high-impact dashboards and insights for executive-level reporting.
• Advanced Modeling & Experimentation: Develop sophisticated machine learning models (e.g., media mix, propensity scoring, LTV prediction). Design and validate complex experiments, including holdout designs and causal inference approaches.
• Data Infrastructure Leadership: Partner with data engineering to design robust ETL processes and scalable infrastructure. Drive improvements in data architecture for marketing analytics, including real-time data integrations.
• Process Optimization & Automation: Lead initiatives to automate data processes and enhance operational efficiency. Standardize KPIs and promote data governance best practices across teams.
• Mentorship & Enablement: Provide technical mentorship to junior team members. Champion a culture of self-service analytics by developing training and tools for business users.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level