Manager, Marketing Analytics at Wonder | Chicago, US | Rezi

Manager, Marketing Analytics at Wonder

Manager, Marketing Analytics

Wonder · Chicago, US

2 weeks ago

Manager, Marketing Analytics

Wonder · Chicago, US

14 days ago
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About the Role

We are looking for a strategic, data-driven leader to join Grubhub’s Paid Media team as Manager, Marketing Analytics. This high-impact role will lead key paid media efforts around marketing measurement, attribution, experimentation, and performance insights across paid media channels. You will drive data-informed decision-making, connecting marketing investment to business outcomes and enabling the team to drive acquisition efficiently through actionable analytics.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • Support and maintain 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.
  • 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.
  • 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.
  • Wonder does not sponsor applicants for employment visa status for this role.

Skills

  • SQL
  • Python
  • R
  • Tableau
  • ETL processes
  • Tracking frameworks
  • Google Analytics
  • Redshift
  • Marketing Mix Modeling (MMM)
  • Marketing technology tools
  • Paid media channels

Location

  • New York City
  • Chicago
  • Denver

Work Type

  • Hybrid
  • 3 days a week in the office

Experience Level

  • 4+ years of experience in analytics, data science, or related fields
  • Leadership experience

Education Level

  • Bachelor’s degree in a quantitative discipline (e.g., Statistics, Economics, Computer Science, Engineering, Mathematics) preferred

Salary/Compensations

  • New York: $128,000 - $135,500 per year
  • Chicago: $115,000 - $122,000 per year

Benefits

  • Competitive salary package including equity and 401K
  • Multiple medical, dental, and vision plans
  • Many benefits and perks that are not listed

About the Company

  • At Grubhub, we believe food is more than just a meal: It’s a source of discovery, connection, and pure enjoyment.
  • As a leading U.S. ordering and delivery marketplace, we feature over 415,000 merchants in more than 4,000 cities, creating the ultimate food experience by elevating online ordering through innovative restaurant technology, easy-to-use platforms, and an improved delivery experience.
  • We are constantly finding new ways to innovate—from integrated grocery delivery with groceries powered by Instacart to exclusive loyalty programs.
  • Join our team, based out of New York City, Chicago and Denver, and help us give our diners the exceptional value they deserve.

Equal Opportunity

  • At Wonder, we build the best teams by hiring with an objective lens — evaluating people for their potential while championing diversity, equity, and inclusion.
  • We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class.
  • As part of our commitment to fair and compliant hiring practices, Wonder participates in the federal government's E-Verify program to confirm employment eligibility.
  • If you need an accommodation during the interview process, please let your recruiter know.