Analytics Engineer II, Marketing

generac; Waukesha (WI); On-site; USD 90,000 - 120,000; Full time

Job summary

Generac is seeking an Analytics Engineer II, Marketing to blend data science with engineering. You will work on media performance measurement, attribution, consumer behavior modeling, and KPI reporting to deliver actionable insights and inform strategy.

The role collaborates with data engineering and business teams to improve data infrastructure and provide analytics solutions that drive business outcomes, requiring strong SQL/Python skills and knowledge of marketing analytics best practices.

Qualifications

• Bachelor's degree in Data Science, Computer Science, Statistics, Marketing Analytics, or a related field is required.
• 2+ years of experience in data analytics, business intelligence, or marketing analytics.
• Experience in media mix modeling, multi-touch attribution, incrementality testing, and A/B testing.
• Advanced proficiency in SQL and/or Python.
• Strong skills in PowerBI and Excel for dashboard creation and reporting.
• Familiarity with data modeling, ETL pipelines, and cloud-based platforms such as Databricks.
• Ability to manipulate and analyze unstructured data.
• Analytical & soft skills: strong problem-solving, statistical, and modeling abilities.
• Ability to communicate complex analytical findings to non-technical audiences.

Responsibilities

• Collaboration with data engineering and business stakeholders to define analytical requirements and design data pipelines and models.
• Design, develop, and optimize dashboards and reporting frameworks for marketing analytics and KPI monitoring.
• Prepare and clean structured and unstructured data across multiple sources for unified insights.
• Develop, deploy, and maintain statistical and predictive models using machine learning techniques.
• Define and refine marketing performance metrics aligned with business goals.
• Provide user training and documentation to promote self-service analytics.

Skills

Statistical analysis

Data modeling

Problem solving

Communication of analytical findings

Education

Bachelor's degree in Data Science / CS / Statistics / Marketing Analytics

Tools

SQL

Python

PowerBI

Excel

Databricks

Job description

We believe power is a promise - a shared commitment to be there for others when it matters most.

For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future.

Ready to Power a Smarter World with us?

The Analytics Engineer II, Marketing is responsible for executing analytics initiatives across various marketing domains including media performance measurement, marketing attribution, consumer behavior modeling, and strategic KPI reporting. The role blends the rigor of data science with the practicality of engineering and business analysis. This individual will analyze structured and unstructured data using statistical analysis, predictive modeling, and data mining techniques to develop actionable insights and recommendations. Working closely with business stakeholders and data engineering teams, this role supports the development of data infrastructure and delivers analytic solutions to improve business outcomes.

Major Responsibilities

• Collaboration & Requirements Gathering: Partner with data engineering and business stakeholders to define analytical requirements and design robust data pipelines and models. Translate marketing and business needs into scalable data and reporting solutions. Support experimentation efforts and analyze marketing campaign impact.
• Reporting Development: Design, develop, and optimize dashboards and reporting frameworks for marketing analytics and KPI monitoring. Ensure timely, accurate delivery of reports and insights to cross-functional teams and executives.
• Data Preparation & Integration: Prepare and clean structured and unstructured data to ensure quality and consistency. Merge and extract data across multiple sources (e.g., sales, operations, consumer behavior) into unified repositories to enable holistic insights.
• Advanced Analytics & Predictive Modeling: Develop, deploy, and maintain statistical and predictive models using machine learning techniques. Perform exploratory and explanatory data analysis, benchmarking, and forecasting. Utilize cloud computing and open-source tools for scalable analytics.
• Performance Metrics & Process Improvement: Define and refine marketing performance metrics aligned with business goals. Lead initiatives to automate workflows and improve data‑driven decision‑making processes.
• User Support & Documentation: Provide user training and documentation to facilitate self‑service analytics. Support less experienced analysts and promote best practices in data handling and visualization.

Minimum Job Requirements

• Education: Bachelor's degree in Data Science, Computer Science, Statistics, Marketing Analytics, or a related field is required.
• Experience: 2+ years of experience in data analytics, business intelligence, or marketing analytics.
• Demonstrated experience in media mix modeling, multi‑touch attribution, incrementality testing, and A/B testing.
• Technical Skills: Advanced proficiency in SQL and/or Python.
• Strong skills in PowerBI and Excel for dashboard creation and reporting.
• Familiarity with data modeling, ETL pipelines, and cloud-based platforms such as Databricks.
• Ability to manipulate and analyze unstructured data.
• Analytical & Soft Skills: Strong problem‑solving, statistical, and modeling skills.
• Ability to communicate complex analytical findings to non-technical audiences.
• Highly organized, self‑motivated, and able to manage multiple priorities.
• Strong collaboration and stakeholder engagement capabilities.

Physical Demands

While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend , or reach above the shoulders. The employee must occasionally lift up to 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.

\"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.\"