Analyst - Restaurant Analytics

• Data Analysis and Interpretation: Analyze complex datasets from various sources to identify meaningful trends, patterns, and insights. Apply statistical techniques and methodologies to extract actionable information.
• Insight Generation: Develop data-driven insights and recommendations that address business challenges, improve processes, and drive growth. Translate analytical findings into clear and concise business implications.
• Data Visualization and Reporting: Design, develop, and maintain insightful reports, dashboards, and data visualizations using Tableau (preferred) or other data visualization tools to effectively communicate findings to stakeholders.
• Financial Modeling: Build and enhance financial models to forecast business performance, evaluate strategic initiatives, and support decision-making.
• Presentation and Communication: Present analytical findings, insights, and recommendations to stakeholders, including management and cross-functional teams. Effectively communicate complex technical concepts to non-technical audiences.
• Stakeholder Collaboration: Partner with business stakeholders to understand their needs, define analytical projects, and provide ongoing support. Address questions, handle objections, and facilitate consensus-building.
• Performance Monitoring: Monitor key performance indicators (KPIs) and track business performance to identify areas for improvement and opportunities for optimization.
• Continuous Improvement: Identify and implement process improvements to enhance data quality, streamline analysis, and increase efficiency.

• Experience: 1-3 years of experience in an analytical role or in a highly analytical and technical internship.
• Education: Bachelor’s degree in Business, Economics, Finance, Statistics, Mathematics, or a related discipline.
• Technical Skills:
• Proficient in Microsoft Excel, including advanced functions and financial modeling capabilities.
• Required: Intermediate proficiency in SQL, with experience in querying, data manipulation, and database management.
• Proven experience using data visualization tools, with a strong preference for Tableau.
• Solid understanding of data cleaning, transformation, and validation techniques.
• Strong understanding of statistical concepts and techniques, including regression analysis, hypothesis testing, and forecasting.
• Familiarity with Python, R, or other statistical programming languages is a plus.
• Solid understanding of analytical techniques including:
• Validation of AB experimentation configuration, results, and impact on business
• Using data to identify root-cause.
• Mix-Pure analysis.
• Analytical and Business Skills:
• Strong analytical and problem-solving skills, with the ability to collect, organize, analyze, and interpret complex data.
• Ability to translate data into actionable insights and business recommendations.
• Excellent business acumen and understanding of how data can drive business value.
• Communication and Interpersonal Skills:
• Excellent written and verbal communication skills, with the ability to present complex information clearly and concisely to both technical and non-technical audiences.
• Strong presentation skills, with experience presenting to stakeholders at various levels.
• Ability to effectively handle objections and facilitate consensus-building.
• Strong interpersonal and collaboration skills, with the ability to work effectively in a team 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.

#LI-Hybrid

Illinois: $86,500

New York: $96,000

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.

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.

At Grubhub, we believe food is more than just a meal: It’s a source of discovery, connection, and pure enjoyment. There’s a time and place for every type of dish, from hidden neighborhood gems to tried-and-true favorites, and we exist to connect people with the food they love in all the ways they like to dig in. We’ve been at it since 2004, but now, as part of Wonder, Grubhub is operating with a renewed sense of momentum and the high-velocity energy of a powerhouse startup.

As a leading U.S. ordering and delivery marketplace, we feature over 415,000 merchants in more than 4,000 cities, creating the ultimate food experience by elevating online ordering through innovative restaurant technology, easy-to-use platforms, and an improved delivery experience. We are constantly finding new ways to innovate—from integrated grocery delivery with groceries powered by Instacart to exclusive loyalty programs. Join our team, based out of New York City, Chicago and Denver, and help us give our diners the exceptional value they deserve.

As an Analyst, you will play a key role in driving data-informed decision-making by analyzing complex data, generating actionable insights, and presenting recommendations to business stakeholders. You will be responsible for identifying trends, patterns, and opportunities that improve business performance, optimize operations, and support strategic objectives. This role requires strong analytical skills, business acumen, and the ability to effectively communicate findings to both technical and non-technical audiences.