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Supervisor, Data Analytics

Job in Chicago, Cook County, Illinois, 60684, USA
Listing for: McDonald's
Full Time position
Listed on 2026-09-05
Job specializations:
  • IT/Tech
    Data Analyst
Job Description & How to Apply Below
Job Description:

Company

Description:

McDonald's is proud to be one of the most recognized brands in the world, with restaurants in over 100 countries that serve 70 million customers daily. We continue to operate from a position of strength. Our updated growth strategy is focused on staying ahead of what our customers want and realizing further growth potential. Our relentless ambition is why McDonald's remains one of the world's leading corporations after almost 70 years.

Joining McDonald's means thinking big and preparing for a career that can have influence around the world.

At McDonald's, we see every day as a chance to create positive impact. We lead through our values centered on inclusivity, service, integrity, community and family. From support of Ronald McDonald House to our Youth Opportunity project and sustainability initiatives, our values keep us dedicated to using our scale for good: good for our customers, people, industry and planet. We also offer a broad range of outstanding benefits including a sabbatical program, tuition assistance and flexible work arrangements.

Department Overview

McDonald's is built on the foundation of Running Great Restaurants. Join our high-performing team responsible for enabling our restaurants to operate at their best and deliver exceptional customer experiences every day. Global Operations supports markets to ensure they have operational solutions and consulting resources that solve the needs of today, while looking ahead to our future.

This position sits within the Global Operations team working out of the Chicago West Loop headquarters and reports into the Director, Global Operations Strategy and Standards. The role exists to build embedded, hands-on analytical capability within Global Operations, enabling the team to independently turn customer and operational data into robust analysis and actionable recommendations.

Priority areas include identifying the drivers of customer satisfaction, improving how we measure restaurant performance, and evaluating the impact of new operational tools and ways of working. The role will partner with Global Operations, Restaurant Experience and market teams to provide clear, evidence-based recommendations that improve restaurant and customer outcomes.

Position Purpose

+ Independently own the end-to-end analytical process, from translating an ambiguous operational question into an analytical approach, through data acquisition, preparation, analysis, and interpretation, to delivering a clear and defensible recommendation.

+ Serve as the embedded analytics partner for Global Operations, enabling a greater proportion of priority business questions to be answered directly and with rigor.

+ Build and maintain repeatable, well-documented analytical methodologies that can be challenged, extended, and reused across markets and time periods.

+ Translate statistical findings into clear operational recommendations for non-technical stakeholders, identifying both what the data shows and the limitations of what can be concluded.

Duties

The ideal candidate will be:

+ A technically trained, hands-on applied analyst with strong statistical foundations and the ability to complete analytical work independently from problem definition through to recommendation.

+ Comfortable translating ambiguous operational questions into structured analytical problems and seeing them through to a finished recommendation.

+ Proficient in Python or R and SQL, with demonstrable experience applying these tools to real-world, incomplete datasets.

+ Experienced in regression, correlation, segmentation, and statistical testing, with the judgement to select an appropriate methodology and interpret its limitations honestly.

+ Rigorous in testing the robustness of findings across markets, channels, dayparts and restaurant cohorts before drawing conclusions.

+ Able to communicate analytical outputs clearly and confidently to non-technical audiences, including in written form and in stakeholder settings.

+ Comfortable working independently under tight timelines and across competing priorities.

+ Curious to learn the details of McDonald's restaurant operations and translate…
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