Senior Manager, Supply Chain Product Analytics

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

We are looking for a Senior Manager of Supply Chain Product Analytics to build and own the reporting, dashboards, and analytical insights that power Wonder’s supply chain product suite — including forecasting, planning, inventory management, WMS, supply chain portal, and purchase order management systems.

You will partner closely with Product, Engineering, Forecasting, Supply Chain, and Operations to understand the systems and operations and then define the key metrics, build trusted reporting, answer urgent business questions, and uncover opportunities for improvement. Success in this role requires more than just “reporting and dashboards”. First, you will be expected to do independent analysis to identify clear recommendations for product and process changes that measurably improve business outcomes. Second, you will manage your reporting and dashboards like a product with the KPI of team efficiency - can the team still accomplish all of their tasks in less time and with zero to minimal querying.

The ideal candidate is technically strong, operationally curious, proactive and autonomous. You are fluent in SQL, comfortable working with imperfect data, and constantly looking for ways to mine data for insights that help the business perform better.

This role is based in NYC but may require periodic visits to facilities and restaurants within the tri-state area. This role has the option to grow into either a senior Product Manager or an Analytics Engineering role.

The Impact You Will Make

• Design, build, and own self-service dashboards and reporting across Wonder’s supply chain product suite that drive performance improvement. Customers of these dashboards include Product Owners, Operations, Executive Leadership.

• Partner with Product Managers to define success metrics for new tools and workflows. Operationalize the new metrics, including calculation logic, data sources, business. Then measure launch quality, adoption, operational impact, and ongoing performance.

• Conduct ad-hoc analyses and root-cause deep dives when issues arise related to system failures, including workflow breakdowns, data issues, forecast & planning misses, stockouts, waste, inventory management problems and purchasing issues.

• Identify data-driven opportunities to improve key business metrics and recommend operational or product changes that can produce measurable impact.

• Build and maintain reliable analytical data models in BigQuery, Snowflake, dbt, or equivalent tools to ensure reporting is accurate, consistent, and scalable.

• Communicate analytical findings clearly to technical and non-technical stakeholders, translating complex data into practical recommendations.

What You Bring to the Table

• Bachelor’s degree in Information Systems, Data Analytics, Computer Science, Engineering, Mathematics, Statistics, Supply Chain, Business, or a closely related quantitative field.

• 4 - 6+ years of experience in analytics, business intelligence, analytics engineering, product analytics, operations analytics, or a related field.

• Bonus if you have product management experience in a data-heavy product

• 3+ years experience doing analytics in a food, operations, or a data-heavy industry.

• Expert proficiency with SQL and comfort independently writing complex queries against large-scale data warehouses such as BigQuery, Snowflake, or similar.

• Experience developing analytical data models, semantic layers, dbt models, Looker Explores, or other reusable data assets that support consistent reporting across teams.

• Experience building and maintaining dashboards, reporting suites, and self-service analytics tools in Looker or similar BI 

• Excellent communication skills, including the ability to explain complex analyses in plain language and influence decisions through data.

• High ownership, intellectual curiosity, and a proactive mindset — you do not wait to be told what to analyze.

• Experience with Python, product analytics, event tracking, experimentation, ML/AI, or LLM-enabled analytics workflows is a plus.

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.

NYC Base Salary: $162,000-$170,000 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

The benefits applicable to this role include a competitive compensation package with equity and a 401(k). We also offer a choice of medical, dental, and vision plans, company paid short and long term disability coverage, paid time off including flexible time off for exempt employees, paid vacation for non-exempt employees, and paid sick leave in compliance with applicable law in addition to paid parental leave, discounted meals and exclusive perks across the Wonder family of brands.

Eligibility, effective dates, and available plan options vary by employment classification and location. To learn more about benefits for this role, visit our Careers page here. 

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.