Senior Performance Marketing Data Analyst

Role Overview

As a Senior Performance Marketing Data Analyst, you will translate complex media, customer, and business data into actionable insights that influence how the company invests, measures, and optimizes marketing efforts. You’ll focus on ROI, incrementality, and cross-channel “halo effects” across digital and physical storefronts.

Responsibilities

• Conduct in-depth statistical analysis and modeling to evaluate marketing performance, ROI, incrementality, and cross-channel halo effects.
• Translate media/campaign data into clear narratives explaining both what happened and why it matters for the business.
• Deliver strategic reporting on budget allocation across Search, Social, Streaming/CTV, and Display.
• Use advanced measurement techniques including:
  • Media Mix Modeling (MMM)
  • Incrementality testing
• Build and maintain self-serve BI dashboards for marketing teams using Tableau/Power BI.
• Partner with Data Engineering to ensure data pipelines, tracking, and attribution logic meet analytical requirements.
• Design and optimize SQL queries and analytical data structures (e.g., views, analytical tables).
• Collaborate with media teams and marketing leadership to define analytical requirements and implement the right methodologies.
• Stay current on media measurement and privacy/tracking changes and propose new methods to keep measurement robust.

Requirements

• 5+ years in a hands-on Data Analyst/Analytical role with experience in media analytics/marketing science or analytical consulting.
• Proficiency in SQL for complex querying, manipulation, joins, and performance optimization.
• Strong knowledge of data visualization tools (e.g., Tableau, Power BI, Looker) and the ability to build interactive dashboards.
• Deep understanding of statistical modeling and measurement, including MMM, hypothesis testing, and data warehousing concepts.
• Knowledge of the ad-tech/mar-tech ecosystem and measurement/tracking tools (e.g., Meta, Google, GA4, Adobe Analytics, CM360, GSC).
• Proficiency in at least one statistical programming language: Python or R.
• Strong collaboration, influence, and communication skills to present findings to diverse audiences.

Nice to Have

• Experience with data mining/feature engineering for extracting patterns from large datasets, ideally using Python or R.
• Demonstrated success designing and implementing complex analytics projects in an agile environment.

Additional Notes

• Fully remote
• Individual Contributor role