Compensation Data Analytics Jobs (NOW HIRING)

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 $84,051.00 - $105,064.00 per year
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we may also consider your experience, and other job-related factors.
Additional Information:
Benefits eligible: This position offers health and welfare benefits, including but not limited to comprehensive health insurance, which includes medical, prescription drug, mental health, dental and vision coverage, as well as, life insurance.
Bonus eligible: This position is eligible for a bonus, calculated based on individual and company performance.
McDonald's is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald's provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact mcdhrbenefits@us.mcd.com. Reasonable accommodations will be determined on a case-by-case basis.
McDonald's provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.