Analyst - Restaurant Analytics

About Grubhub

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.

About The Opportunity 

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.

The Impact You Will Make 

• 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.

What You Bring to the Table 

• 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.