Growth & Marketing Analytics Intern

About Wonder

Everything’s on the menu at Wonder. Except compromise.  

Wonder is the mealtime platform built to feed every craving in one order. With Wonder, you can mix and match hundreds of dishes from 20+ exclusive restaurants in a single order, so everyone gets exactly what they’re craving. Enjoy everything from tacos to Thai with $0 delivery fees, plus dine-in or pick up at a Wonder location near you. Each dish is made to order on-site by our culinary team and served hot.

Behind the scenes, Wonder owns and operates every step of the dining experience, from recipe development to the technology that powers our experience, allowing us to deliver quality, variety, and consistency at scale.

Join us as we work to make great food more accessible.

About The Opportunity

The Growth Analytics team at Wonder serves as a strategic thought partner driving topline growth, customer acquisition, and customer lifetime value across our marketing and digital platforms. As a Growth Analytics Intern, you won't just pull numbers—you will dive into customer behavior, evaluate performance, and turn data into actionable business stories and strategic recommendations for the Growth Team. Working closely with full-time analytics leaders, you will leverage modern analytics tools (SQL, DBT, BigQuery, Looker) to help solve real-world growth hypotheses and directly influence strategic decisions in a fast-paced food-tech environment.

The Impact You Will Make

• Query BigQuery database environments using complex SQL, windows functions, CTEs, and different levels of aggregation to extract customer, order, and promotional performance data, moving from raw numbers to meaningful insights.

• Partner with growth and marketing stakeholders to evaluate campaign lift, customer cohort trends, and promotional A/B testing performance.

• Fully leverage Looker’s Gemini powered AI conversational analytics to draw insights from Looker explores and existing dashboards

• Manage and enhance the Growth Analytics AI data chatbot, ensuring alignment with AI governance frameworks and single-source-of-truth metric definitions.

• Translate complex data outputs into clear visual slides and executive summaries for quarterly cohort presentations and marketing strategy syncs.

Tangible Requirements and Essential Job Duties

• Formulate hypotheses and analyze ad-hoc growth questions (e.g., customer churn drivers, brand preferences, promo incrementality) to support key business choices.

• Validate data accuracy across marketing tracking channels and performance dashboards to ensure single-source-of-truth consistency.

• Synthesize findings into clear, structured takeaways and slide presentations that communicate strategic opportunities to non-technical stakeholders.

Initial Focus and Key Deliverables (Post-Joining)

• First 30 Days: Complete team onboarding, gain fluency in Wonder’s data stack (BigQuery, Looker, DBT), and build a solid understanding of core growth metrics.

• First 60 Days: Take ownership of recurring marketing performance analyses and co-author strategic deep dives on customer engagement or promotional performance under mentor guidance.

• First 90 Days: Own and execute an end-to-end strategic capstone project (i.e., investigating a high-value customer cohort or evaluating a growth campaign to re-engage customers) using artificial intelligence and present strategic recommendations to Growth leadership.

Core Responsibilities

• Act as an active strategic contributor by bringing curiosity, fresh perspectives, and structured problem-solving to growth challenges.

• Collaborate cross-functionally with Marketing, CRM, and Operations teams to answer strategic questions with data-backed insights.

• Continuous learning: continuously refine your analytical toolset, business intuition, and data storytelling abilities.

What You Bring to the Table

• Currently pursuing a Bachelor’s or Master’s degree in Business Analytics, Statistics, Data Science, Economics, Business Administration, or a related quantitative field (Must Have).

• 0–1 years (Currently enrolled student; prior internship, research, or relevant project/coursework experience is a plus).

• Foundational SQL skills (SELECT statements, JOINs, GROUP BY, aggregations) and comfort working with relational databases.

• Business acumen and strong strategic curiosity with a desire to answer the "why" behind customer behaviors and business trends.

• Familiarity with data visualization tools (Looker, Tableau, Power BI) or advanced Google Sheets/Excel skills for data modeling and charts.

• Strong data storytelling skills with the ability to summarize technical data into concise, strategic bullet points and slides.

• Exposure to or strong interest in digital marketing, e-commerce, customer retention/cohort analysis, and promotional strategy.

• Collaborative attitude, detail orientation, and proactive communication skills in a fast-moving startup environment.

As a matter of company policy, Wonder does not sponsor applicants for employment visa status for this role.

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. 

New York: $36.00 per hour.

A Final Note

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.

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