Specialist, Data Analytics

Position: Specialist, Compensation Data Analytics
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

This position, located at McDonald's headquarters in Chicago's West Loop, provides support to the Global Restaurant Compensation team in the development and execution of McDonald's Global Total Rewards Programs.

Duties

Curious about AI and emerging tech, the ideal candidate leverages tools like Microsoft Copilot, Gemini AI, Power BI/Tableau, and SQL/Python to automate work, accelerate analysis, and deliver clear, actionable insights.

Analytics Planning enables data-driven compensation decisions by combining core compensation principles with advanced analytics, modeling, and statistics to support pay strategy, workforce investment, and program design.

Under the guidance of the Compensation Manager and Director, this role translates complex data into business insights, builds and maintains models, and delivers compensation recommendations. Success requires strong technical skills, sound judgment, and clear stakeholder communication.

Key Responsibilities

- Develop data-driven compensation recommendations (new hire and internal) using internal equity, market data, and program guidelines.

- Conduct workforce and compensation analyses to inform pay programs, workforce planning, and policy decisions aligned to Total Rewards strategy and financial parameters.

- Build and maintain compensation and cost models to evaluate financial impact, sustainability, and trade-offs, including scenario and sensitivity analysis.

- Analyze large datasets to identify trends, risks, anomalies, and opportunities in pay competitiveness and workforce dynamics.

- Apply foundational statistics (e.g., distributions, correlations, regression, trend analysis) to support market pricing, pay equity, and program effectiveness.

- Analyze survey data to deliver insights on market movement, competitive positioning, and year-over-year trends.

- Design and deliver recurring and ad hoc reports, dashboards, and analytical tools to improve decision speed, consistency, and transparency.

- Manage and integrate compensation data across systems, ensuring accuracy, consistency, and audit readiness.

- Support annual compensation planning and year-end processes through data validation, modeling, and executive-ready insights.

- Translate complex analysis into clear, data-driven narratives; partner with People Partners and business leaders as an analytical resource.

Qualifications

+  2 years of experience in human resources, finance, project management, data analytics, or related field

+  Advanced Excel and Word skills

+  Highly organized, detail-oriented, a strong work ethic, and demonstrated teamwork skills

+  Excellent time management skills and the ability to manage multiple deadlines/assignments

+  Personal motivation and a sense of ownership

+  Excellent written and verbal communication skills

+  Demonstrated ability to translate data into clear storytelling and develop compelling presentations for diverse audiences

Compensation

Bonus Eligible: EDIT

Long - Term Incentive: EDIT

Benefits Eligible: EDIT

Salary Range

The expected salary range for this role is…