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Wonder

Associate Director, Marketing Analytics & Operations

Reposted 11 Days Ago
In-Office
2 Locations
157K-184K Annually
Senior level
In-Office
2 Locations
157K-184K Annually
Senior level
Lead a team in marketing analytics for paid media; drive data-informed decisions, optimize marketing investments, and ensure data integrity through analytics frameworks and cross-functional collaborations.
The summary above was generated by AI

About Grubhub

At Grubhub, we champion restaurants from coast to coast. Restaurants sit at the heart of communities. It’s our mission to strengthen their roots, deepen their connections, and increase the positive impact they have on people and society.  

Grubhub, part of Wonder, delivers the best local, authentic cuisine right to diners’ doors—and new customers and billions in revenue to local businesses. Featuring over 375,000 merchants in over 4,000 cities nationwide, our innovative technology, user-friendly platforms, and streamlined delivery capabilities have made us an industry leader in the world of online food ordering.    

Since we opened our doors in 2004, Grubhub has been opening doors all across the country. Bakery doors in Hyde Park, jibarito joint doors in Queens, and doors of opportunity all across the country. Join our team and help us open more. 

About The Opportunity

We’re looking for a strategic, data-driven leader to join Grubhub’s Paid Media team as Associate Director, Marketing Analytics. In this high-impact role, you’ll lead a team of analysts responsible for marketing measurement, attribution, experimentation, and performance insights across paid media channels. You’ll drive data-informed decision-making, connecting marketing investment to business outcomes and enabling the team to drive acquisition efficiently through actionable analytics.

Reporting to the Senior Director of Paid Media & Performance Marketing, you will partner closely with Growth, Finance, Product, and Engineering to develop and operationalize a marketing analytics roadmap that powers smarter investment decisions. You’ll play a central role in optimizing our marketing mix, improving our understanding of our marketing investments and acquisitions tactics, and driving experimentation that accelerates profitable growth. You will also play a role in assessing MarTech needs and transforming how we work - building more automated approaches to optimization and channel management via internal and/or external partnership. This is a highly visible, cross-functional leadership position that blends analytical rigor, strategic influence, and hands-on execution.

The Impact You Will Make

  • Lead Marketing Analytics Strategy: Develop and execute a unified analytics vision and roadmap that aligns with marketing and company growth objectives. Define core metrics, dashboards, and methodologies for measuring performance across channels and campaigns. Ensure top priority workstreams are progressing to plan while managing expectations across a variety of stakeholders.

  • Performance Measurement & Attribution: Oversee development and refinement of measurement frameworks, incrementality testing, and attribution models to evaluate channel and campaign effectiveness. Partner with internal media teams to translate findings into actionable optimization strategies.

  • Budgeting, Forecasting & ROI Analysis: Own Grubhub’s Marketing Mix Modeling (MMM) approach to inform strategic planning, channel investment allocation, and performance forecasting. Build and manage marketing acquisition budgets and performance targets in close partnership with Finance. Lead monthly pacing, variance analysis, and reporting to ensure marketing investment efficiency and accountability.

  • 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.

  • Team Leadership & Development Lead and mentor a high-performing team of marketing analysts. Foster a culture of analytical excellence, curiosity, and collaboration, while building scalable processes that enhance speed and quality of insights.

  • Tool & Tech Stack Management: Evaluate and manage tools supporting measurement, attribution, experimentation, and audience targeting. Stay ahead of emerging analytics technologies and methodologies to continuously enhance team capabilities.

What You Bring to the Table

  • 7+ years of experience in marketing analytics, growth analytics, data science, or related fields, ideally within a digital marketplace, e-commerce, or performance-driven environment.

  • Proven track record of leading analytics strategy and partnering cross-functionally to both influence business and marketing decisions and directly drive business outcomes. 

  • Deep expertise 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.

  • Experience building and managing marketing budgets and forecasts, including ROI analysis, pacing, and variance reporting.

  • Proficiency with SQL, Python, or R for data analysis, and with BI tools such as Tableau for dashboarding and visualization.

  • Strong understanding of paid media channels (search, social, app, display, and offline) and how to measure and optimize their impact across the funnel.

  • Familiarity with data infrastructure concepts, including ETL processes, tracking frameworks, and integration with marketing and data platforms (e.g., Google Analytics, Tableau, Redshift).

  • Demonstrated ability to translate complex analytical findings into clear, actionable business recommendations for senior executives.

  • Proven experience managing, coaching, and developing high-performing analytics teams.

  • 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.

Our hybrid model requires 3 days a week in the office. That said, many team members choose to come in more often to take advantage of in-person collaboration and connection. You're welcome—and encouraged—to be in the office up to 5 days a week if it works for you. 

#LI-Hybrid

New York: $174,000 - $183,500 per year.

Illinois: $156,500 - $165,000 per year.

Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience.

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.  

A Final Note

At Wonder, we believe that in order to build the best team, we must hire using an objective lens.  We are committed to fair hiring practices where we hire people for their potential and advocate for diversity, equity, and inclusion.  As such, we do not discriminate or make decisions based on your 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.  If you have a disability, please let your recruiter know how we can make your interview process work best for you. 

We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy

Top Skills

Google Analytics
Python
R
Redshift
SQL
Tableau

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