Senior Marketing Analytics Engineer - Paid Media

Description

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

Requirements

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.

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.

• Exceptional attention to detail with a commitment to accuracy and timeliness.
• Ability to analyze large, complex datasets to identify trends and deliver actionable insights.
• Minimum 7 years of experience in data analytics or marketing analytics, with a proven track record in business intelligence and performance reporting.
• 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.
• Solid knowledge of data modeling and integration techniques.
• Bachelor’s degree in data science, Computer Science, Statistics, or a related field is required
• Strong understanding of business metrics and forecasting techniques.
• Advanced proficiency in Power BI and Excel for dashboard creation and data visualization.
• Proven ability to collaborate effectively within a team and with cross-functional stakeholders.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance