Senior Data Analyst, Demand Modeling (Revenue Growth Management)
Chicago, IL, United States
Full Time Senior-level / Expert USD 87K - 108K
McDonald's Corporation
Einfach gut: Die aktuellen Angebote und Aktionen von McDonald's findest du hier. Entdecke exklusive McDonald's Deals, Coupons und Aktionen in der McDonald's App. Jetzt sparen. Qualität und Frische. McDonald's® Snacks. Genuss zum mitnehmen....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 Charities 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.
Job Description
McDonald's is a global leader in Quick Service Restaurant industry dedicated to driving revenue growth through innovative pricing strategies and advanced analytics. We are seeking a highly skilled Senior Data Analyst to join our dynamic team and tackle complex revenue management challenges.
Key Responsibilities:
Revenue Management:
- Problem-solve complex revenue management challenges using Python and SAS. Experience in additional programming languages is a plus.
- Apply advanced analytical techniques to pricing problems to generate ROI for global markets.
- Manage pricing tests in multiple markets simultaneously and conduct primary research projects (e.g., conjoint analysis).
- Manage a global team of contractors, vendors, and direct reports across various time zones with different communication skill levels.
- Utilize optimization techniques and operations research to solve pricing challenges.
- Code in Python and leverage deep knowledge of machine learning, including practical experience with deep learning and reinforcement learning models for revenue growth strategies.
- Apply statistical methods to solve business problems and continuously learn new techniques and technologies.
Benefits eligible: Yes
Bonus eligible: Yes
The expected salary range for this role is $87,050-$108,810 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.
Qualifications
- Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Decision Science, or a related field. Industry experience is highly desirable.
- Strong experience in data science, predictive modeling, time series forecasting, demand modeling, and machine learning.
- Proficiency in Python and SAS; additional programming languages are a plus.
- Proven ability to manage and execute multiple projects in a fast-paced, global environment.
- Excellent communication and leadership skills.
Additional Information
Benefits eligible: This position offers health and welfare benefits, a 401(k) plan, adoption assistance program, educational assistance program, flexible ways of working, and time off policies (including sick leave, parental leave, and vacation/PTO). Eligibility requirements apply to some benefits and may depend on job classification and length of employment.
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.
Tags: Classification Deep Learning Economics Machine Learning Mathematics Predictive modeling Python Reinforcement Learning Research SAS Statistics
Perks/benefits: Career development Flex hours Flex vacation Health care Medical leave Parental leave Salary bonus
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.