Senior Analytics Engineer - Paid Media

Overview

Lead paid media analytics, reporting, attribution, and advanced modeling.

Key Responsibilities

• data integration
• reporting frameworks
• dashboard development
• predictive modeling
• performance metrics
• automation

Tasks

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

Requirements

• sql
• python
• power bi
• excel
• bachelor's
• 7 years

What You Bring

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 - 50 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision and ability to adjust focus. Occasional travel. We are seeking an experienced and analytical Senior 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. -Solid knowledge of data modeling and integration techniques. -Proven ability to collaborate effectively within a team and with cross-functional stakeholders. -Minimum 7 years of experience in data analytics or marketing analytics, with a proven track record in business intelligence and performance reporting. -Strong understanding of business metrics and forecasting techniques. -Bachelor’s degree in data science, Computer Science, Statistics, or a related field is required -Strong expertise in SQL and familiarity with R or Python. -Hands-on experience with marketing measurement tools such as multi-touch attribution, media mix modeling, incrementality testing, matched market testing, and A/B testing. -Ability to analyze large, complex datasets to identify trends and deliver actionable insights. -Advanced proficiency in Power BI and Excel for dashboard creation and data visualization. -Exceptional attention to detail with a commitment to accuracy and timeliness.

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About Generac

-It began by engineering affordable home standby generators and built its first engine tailored for generator use. -Its portfolio spans portable units, residential standby systems, large commercial/industrial generators, light towers, power washers, battery storage, and smart-home energy devices. -Typical projects include outfitting homes for outage resilience, powering construction sites with mobile generators, and deploying microgrid and natural gas generator solutions for commercial clients. -Innovations include the PWRcell home energy storage line, integration of EV charging and remote monitoring via Mobile Link and Concerto software platforms.

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