Responsibilities

• Performance Measurement & Attribution: Oversee development and refinement of measurement frameworks, incrementality testing, and attribution models to evaluate channel, platform, audience, and creative performance. Partner with internal media teams to translate findings into actionable optimization strategies.
• Insight Generation & Experimentation: Conduct deep-dive analyses to uncover trends, identify growth opportunities, and develop hypotheses for testing. Champion experimentation (A/B, holdouts, incrementality) to inform marketing strategy and improve ROI.
• Data Infrastructure & Reporting Automation: Partner with Product, Engineering, and Paid Media Marketing to ensure clean and reliable data pipelines, marketing taxonomy, and automated, centralized reporting infrastructure. Own marketing data integrity, including UTM governance, media tracking, and dashboard accuracy.
• Cross-Functional Collaboration: Serve as a trusted thought partner to Marketing, Finance, Product, and Engineering. Translate complex analyses into simple, actionable insights that guide investment and strategy decisions.
• MarTech Execution & Integration: Support and maintain our marketing technology tools, ensuring clean data flows between ad platforms, the MMP, the CDP, tag managers, and the internal data warehouse. Keep a pulse on new tools and privacy shifts to upgrade our setup and improve how we measure performance.
• Budgeting, Forecasting & ROI Analysis: Support Grubhub’s Marketing Mix Modeling (MMM) approach to inform strategic planning, channel investment allocation, and performance forecasting.

Requirements

• 4+ years of experience in analytics, data science, or related fields, ideally within a digital marketplace, e-commerce, or performance-driven environment.
• Proven track record of leadership within the marketing analytics space and partnering cross-functionally to both influence business and marketing decisions and directly drive business outcomes.
• Demonstrated ability to translate complex analytical findings into clear, actionable business recommendations for senior executives.
• Proficiency with SQL, Python, or R for data analysis, and with BI tools such as Tableau for dashboarding and visualization.
• Familiarity with data infrastructure concepts, including ETL processes, tracking frameworks, and integration with marketing and data platforms (e.g., Google Analytics, Tableau, Redshift).
• Exceptional communication and storytelling skills—able to make data both accessible and influential.
• A strong balance of strategic thinking and hands-on execution, with a passion for driving measurable impact through data.
• Bachelor’s degree in a quantitative discipline (e.g., Statistics, Economics, Computer Science, Engineering, Mathematics) preferred.

Preferred

• Meaningful experience in marketing measurement, attribution, and experimentation frameworks (e.g., MMM, MTA, incrementality testing, lift studies).
• Demonstrated experience building and modernizing paid media marketing tech stacks—including evaluating, integrating, and managing external vendors and tools to improve data quality, operational efficiency, and performance measurement is preferred.
• Strong understanding of paid media channels (search, social, app, display, and offline) and how to measure and optimize their impact across the funnel.

Benefits

• We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.