Process and Data Analysis Engineer Intern

Wonder
New York, New York, United StatesPosted Sep 3, 2026

About the role

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 Our Back of House (BOH) Development, Design, and Procurement team is seeking a versatile problem-solver for a project-based internship in data analysis and process improvement. You’ll join the small internal BOH team, which exists within the Construction and Design/Development team at Wonder. The role touches many parts of the organization, providing mentorship from multiple leadership levels. You will apply analytical skills to a physical, real-world environment, shaping purchasing decisions and redesigning workflows that get tested directly on job sites. The Impact You Will Make Day-to-Day Responsibilities and Activities Perform data cleaning, structuring, and analysis in Python and Excel/Google Sheets Build and iterate on dashboards and process tools based on user feedback Communicate progress and findings to internal stakeholders and team leadership Meet with Operations or Construction Project Managers to gather data or feedback on their processes and pain points Test and refine workflows directly with field and vendor team Initial Focus and Key Deliverables (Post-Joining) Procurement Analysis Example Project: Clean historical equipment cost data and build a dashboard for data visualization, enabling e

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