Sr Analyst- Merchant Network Analytics at Grubhub

You're a data professional with 3-5 years of experience, holding a Bachelor's degree in a quantitative field like Statistics or Economics, ready to analyze comp

Work type: hybrid

Location: Chicago | New York, NY

Salary: $115,000 – $128,000/yr

Type: Full-time

Summary

You're a data professional with 3-5 years of experience, holding a Bachelor's degree in a quantitative field like Statistics or Economics, ready to analyze complex datasets and build impactful reporting. **What makes it worth a look...** This full-time, hybrid role at Grubhub in Chicago or New York offers an annual salary of $115,000-$128,000, with the company also providing equity, 401K, and comprehensive health benefits. **You might be a good fit if you...** * Are proficient with SQL and data visualization tools like Tableau or Power BI. * Have experience with data cleaning, transformation, and building scalable reporting solutions. * Possess familiarity with Python for data analysis and automation is preferred. * Understand core statistical concepts such as regression analysis and hypothesis testing.

Job Description

About Grubhub

At Grubhub, we champion restaurants from coast to coast. Restaurants sit at the heart of communities. It’s our mission to strengthen their roots, deepen their connections, and increase the positive impact they have on people and society.  

Grubhub, part of Wonder, delivers the best local, authentic cuisine right to diners’ doors—and new customers and billions in revenue to local businesses. Featuring over 375,000 merchants in over 4,000 cities nationwide, our innovative technology, user-friendly platforms, and streamlined delivery capabilities have made us an industry leader in the world of online food ordering.    

Since we opened our doors in 2004, Grubhub has been opening doors all across the country. Bakery doors in Hyde Park, jibarito joint doors in Queens, and doors of opportunity all across the country. Join our team and help us open more. 

About The Opportunity

As a Senior Analyst, you will be responsible for analyzing complex data sets, identifying trends, and providing actionable insights that directly impact strategic decision-making and drive business growth. You will also be the architect of a connected ecosystem of dashboards and reports that empower teams across the business to move faster, smarter, and more confidently. This involves executing advanced analyses, improving reporting processes, and collaborating closely with senior leadership to address critical business challenges.

You will work with cross-functional teams to optimize business performance, implement strategic initiatives, and ensure that business decisions are backed by robust data analysis and reliable 'source of truth' reporting and metrics. Your work will have a direct impact on fostering growth and operational efficiency as well as influencing how key projects are executed and ensuring that the organization stays competitive in a rapidly evolving market. 

You will primarily support the Merchant Network team, who is responsible for signing, onboarding, retaining, and growing restaurant partners on Grubhub.  

The Impact You Will Make 

• Analyze Complex Data -Sets: Perform sophisticated analytics to understand critical drivers of business performance, including fraud prevention, customer care, and logistics operations. Leverage your analytical curiosity to proactively uncover data trends, anomalies, and other key insights that can help the company grow faster, reduce costs, and increase profitability.

• Build and Maintain Dashboard Ecosystems: Develop and manage a connected ecosystem of dashboards and reports across platforms such as Tableau and Redash. Ensure seamless integration and data consistency to support company-wide consumption.

• Support Cross-Functional Business Leaders: Collaborate with leaders to address business challenges, providing insightful analysis to help them understand the financial implications of their strategies and decisions. Present your findings and recommendations in clear, actionable formats, working with stakeholders to ensure that data-driven solutions are incorporated into business strategies. Influence key decisions with high-quality analysis and insights.

• Transform Business Requirements into Actionable Insights: Collaborate with cross-functional stakeholders to gather requirements and translate them into intuitive, data-driven dashboards and reporting solutions. Ensure outputs are tailored to drive strategic and operational decisions.

• Monitor and Report on KPIs: Take ownership of preparing, tracking, monitoring and communicating key performance indicators (KPIs) on a regular, recurring cadence.. Investigate variances and anomalies, identify trends, and communicate findings to Leadership to inform strategic decision-making.

• Develop and Maintain Financial Models: Design and implement financial models to support key strategic initiatives across various departments. Provide data-driven insights that help guide decision-making related to resource allocation, cost optimization, and performance improvement.

• Maintain a Central Source of Truth: Establish, document, and maintain a “Source of Truth” for company-wide metrics. Drive consistency in metric definitions, data sources, and reporting methodologies across the organization.

• Drive Reporting Automation and Scalability: Identify opportunities to automate recurring reporting tasks and streamline dashboard creation. Build scalable reporting frameworks and reusable templates to support future business growth. Work to optimize reporting tools, dashboards, and data collection methods, ensuring that data presented to stakeholders is both accurate and timely.

• Drive Continuous Improvement: Look for opportunities to improve data processes, enhance reporting efficiency, and increase the overall impact of analytical outputs.

• Mentorship and Collaboration: Act as a mentor for junior analysts, helping them to refine their skills and grow within the role. Foster a collaborative environment where analytical best practices are shared across teams and departments.

• Stay Ahead of Market Trends: Stay informed about industry developments, competitor activities, and emerging technologies. Use this knowledge to refine analyses and make proactive recommendations that help the company stay competitive and innovative.

• Experience: 3-5 years of experience in a Data, Business Intelligence, or Analytics role, with a proven track record of leading advanced data analyses and providing actionable insights that inform strategic business decisions, and a demonstrated ability to develop impactful dashboards and reporting tools that drive business decision-making.

• Education: Bachelor’s degree in Business, Finance, Economics, Statistics, Mathematics, Data Analytics, Computer Science, or a related field. An advanced degree or certifications in data science, business analytics, or related areas is a plus.

• Technical Skills:

• Advanced proficiency in data analysis tools such as Excel, SQL, and data visualization platforms (e.g., Tableau, Power BI).

• Familiarity with data modeling, cleaning, and transformation best practices.

• Exposure to Python for data analysis, modeling & automation, analysis, and data pipeline optimization is preferred.

• Understanding of statistical concepts and techniques, including regression analysis, hypothesis testing, and forecasting is a plus.

• Comfortable balancing speed and accuracy while developing scalable reporting solutions.

• Experience with data cleaning, transformation, and analysis processes.

• Analytical Expertise: Expertise in interpreting complex data sets and delivering clear, actionable insights. Ability to manage large-scale data projects, identify emerging trends, and provide recommendations that drive significant business impact. Strong sense of ownership over data quality, structure, and reporting consistency.

• Business Acumen: Strong understanding of business strategy, financial modeling, and operational metrics. Ability to synthesize data into strategic recommendations that drive profitability, operational efficiency, and growth. Ability to frame analytical findings within a business context and influence decisions with data.

• Problem-Solving and Strategic Thinking: Strong critical thinking and problem-solving abilities, with the capability to address business challenges at a strategic level. Ability to lead and implement data-driven solutions to complex problems.

• Communication Skills: Exceptional written and verbal communication abilities, adept at presenting data insights to diverse audiences, including executive leadership. Proven ability to influence business decisions by translating complex data into accessible and actionable information for both technical and non-technical stakeholders.

• Attention to Detail and Accuracy: High level of precision and accuracy in data analysis, with the ability to manage multiple tasks while maintaining a focus on quality and integrity.

• Adaptability and Innovation: Ability to adapt quickly to changing business needs and drive continuous improvement with evolving data tools and analytics techniques. Agile mindset with a passion for continuous learning

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

New York:$128,000 per year

Illinois:$115,000 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

We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.  

A Final Note

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