Job Description:
• Conduct in‑depth statistical analysis and modeling to evaluate marketing performance, ROI, incrementality, and cross‑channel halo effects across Search, Social, Streaming/CTV, and Display
• Translate complex media and campaign data into clear, actionable narratives for marketing stakeholders and leadership, explaining not just what happened, but why it matters for the business
• Leverage data to provide strategic reporting on budget allocation across Search, Social, Streaming/CTV, and Display to maximize return, utilizing advanced measurement tools including Media Mix Modeling (MMM) and incrementality testing
• Own the development and maintenance of intuitive BI dashboards (Tableau/PowerBI) that allow marketing teams to self-serve insights and monitor campaign performance in real-time
• Partner with Data Engineering to ensure data pipelines, tracking, and attribution logic meet analytical requirements
• Design, implement, and optimize complex SQL queries and data structures (views, analytical tables) to efficiently support ongoing data analysis and analytical model development
• Work closely with media teams, data engineers, and marketing leaders to deeply understand analytical requirements and translate them into precise data methodologies
• Drive personal and team growth by actively tracking industry trends and new statistical/analytical methods, and proactively engaging in learning activities to elevate technical expertise
• Proactively identify shifts in the digital media privacy and tracking landscape, proposing new methodologies to ensure our measurement remains robust
Requirements:
• 5+ years of professional experience in a hands-on Data Analyst or Analytical role, with proven experience in media analytics, marketing science, or analytical consulting
• Bachelor's degree in Data Science, Marketing, Statistics, Business Analytics or a related field (or equivalent practical experience)
• Proven experience in designing and implementing complex data analytics projects and models successfully in an agile environment
• Proficiency in at least one statistical programming language (Python or R) used for advanced analysis
Benefits:
• Medical/Dental/Vision
• Life insurance and Disability
• Retirement and 401(k) match
• Paid time off, wellness time and volunteer time
• Merchandise discount and EAP resources
• Tuition Reimbursement