Process and Data Analysis Engineer Intern

Job description

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 estimators to identify pricing trends, bulk-order thresholds, vendor reliability, and lead times. Punch List Re-engineering Example Project: Shadow field teams to research current workflows, then design and pilot a mobile friendly, construction punch list process capturing photos, location, and assigned trades. Defining Success: These are example projects, the actual projects will be determined when the internship starts. Wonder will provide a clear vision for success and welcome input from the candidate on project scope and success criteria. By the end of the internship: ship at least one working project and present the results to the team. Tangible Requirements and Essential Job Duties Able to manage more than one active task at a time without losing quality Comfortable working with minimal supervision and proactively asking questions to clarify scope Willing to spend time on active job sites in addition to standard desk-based work Open to feedback and iteration from mentors and cross-functional partners Communicate progress clearly and flag blockers early Comfortable with using AI tools to accelerate learning What You Bring to the Table Currently pursuing a degree in Data Science, Industrial Engineering, Business Analytics, Operations Research, Computer Science, or a related quantitative field (preferred, not required) Prior internship experience preferred - a strong stepping stone toward a career in data analytics, operations, or process design Proficiency in Python for data manipulation, automation, and analysis Strong Excel and Google Sheets skills for building functional, scalable tools Data visualization and dashboard-building experience Critical thinking and problem-solving - comfortable turning ambiguous, real-world problems into structured systems Strong written and verbal communication across technical and non-technical, internal and external audiences Adaptable and collaborative, with an eagerness to learn from mentors at multiple levels of the team 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. 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 .