Wonder Logo

Wonder

Senior Data Analyst

Posted Yesterday
In-Office
Chicago, IL, USA
134K-157K Annually
Senior level
In-Office
Chicago, IL, USA
134K-157K Annually
Senior level
Support accounting and finance data needs by connecting and reconciling data across systems, building and maintaining reporting and analytical tools, enabling month-end close and audit deliverables, and partnering with data engineering and finance teams to improve automation, accuracy, and financial reporting.
The summary above was generated by AI

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

We are seeking a highly analytical and collaborative Senior Data Analyst to join our team. In this role, you will support the accounting and finance data needs across all Wonder brands (Wonder, Grubhub, Blue Apron, Tastemade, Spyce, etc.). This role sits at the intersection of finance, accounting operations, and data. Reporting to the Director of Finance Data & Systems, the Senior Data Analyst will be the backbone energizing the elevation of management financial reporting, accounting month-end close, and audit deliverables.

The Impact You'll Make:

  • Partner with accounting team to support recurring close deliverables, ensuring data is accurate, reconciled, and delivered against firm month-end close deadlines.

  • Connect and analyze data across multiple source systems to explain financial results, support reconciliations, and accounting workpapers that stand up to audit scrutiny.

  • Build and maintain reporting and analytical tools that improve the efficiency, automation, and timeliness of recurring deliverables and standardized reporting, as well as ad-hoc analysis.

  • Partner with the central data and data engineering teams to ensure the accuracy and availability of the financial data required for both day-to-day decisions and the quarterly close.

  • Support external audit data requests, including documenting data sources and lineage to strengthen audit readiness.

  • Proactively identify opportunities to leverage technology and process improvements that increase the rigor and repeatability of our close.

  • Help develop and evolve management financial reporting tools and data models in collaboration with the functional areas of the business, data engineers and software developers.
     

What You'll Bring To The Table:
  • A bright, highly analytical, and technically oriented individual who can execute in a dynamic, fast-paced environment.

  • Advanced knowledge of Microsoft Excel, including experience working with large volumes of data and building reporting tools.

  • Advanced SQL skills.

  • 4+ years of practical experience analyzing and engineering large data sets - ideally in a finance, accounting, or operations context.

  • Comfortable connecting and interpreting data across disparate source systems to answer accounting and financial questions.

  • Familiarity with accounting operations and the month-end close cycle is a strong plus; experience supporting external audits is a bonus.

  • Highly organized, with a track record of managing projects and competing priorities under deadline pressure while maintaining composure.

  • Strong attention to detail paired with a big-picture orientation.

  • Self-starter with a high degree of motivation, a bias for action, and a passion for innovation; eager to develop processes and deliverables from the ground up.

  • Strong collaboration skills, with the ability to partner across internal teams (accounting, finance, operations, data, and engineering) and with external stakeholders such as auditors.

  • Track record of acquiring new tools, skills, and knowledge to better execute on goals.

New Jersey & New York Base Salary: $149,000 - $157,000.
Illinois Base Salary: $134,000 - $141,500.

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

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

Wonder Chicago, Illinois, USA Office

111 W. Washington St., Chicago, United States, 60602

Similar Jobs

5 Days Ago
Hybrid
Chicago, IL, USA
101K-127K Annually
Senior level
101K-127K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Build and maintain data solutions for risk products: mine diverse data, develop BI dashboards and metrics, perform analyses to inform strategy, enforce data quality/lineage/governance, and collaborate with tech teams on access and security. Support self-service frameworks and monitor data quality.
Top Skills: AWSInformatica DqPythonRSnowflakeSparkSQL
21 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
83K-162K Annually
Senior level
83K-162K Annually
Senior level
Big Data • Cloud • Software • Database
Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.
Top Skills: Cloud Data WarehouseData EngineeringData ModelingData QualityData WarehousingHrisPythonRSQLTableau
5 Days Ago
Hybrid
Chicago, IL, USA
183K-229K Annually
Senior level
183K-229K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead validation of enterprise-wide analytical tools for risk management: plan and execute validation projects, assess methodology quality and tool risk, prototype best practices, communicate findings, and coach junior staff.
Top Skills: Open Source Data Technologies

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account