McDonald's is looking to solve business problems related to customer behavior, purchase patterns, and loyalty drivers, and to quantify the impact of pricing, promotions, product launches, and operational changes.
Requirements
- Proficiency in Python and SQL, with hands-on experience in statistical modeling and machine learning.
- Demonstrated expertise in causal inference techniques (DiD, fixed effects models, matching methods).
- Experience with A/B testing design, execution, and interpretation.
- Experience with revenue growth management, pricing analytics, or marketing measurement.
- Experience with using clickstream data to understand digital customer journey.
- Familiarity with data visualization tools (Tableau, Power BI, or similar).
- Understanding of global markets and cultural nuances in consumer behavior.
Responsibilities
- Lead the design and execution of test-and-learn experiments, including A/B testing, matched market tests, and synthetic control methods.
- Apply causal inference frameworks (DiD, panel regression, propensity score matching, synthetic control, time series analysis) to quantify the impact of pricing, promotions, product launches, and operational changes.
- Lead the measurement of incremental lift for promotions and new menu items, accounting for cannibalization and long-term effects.
- Work with customer-level data to uncover insights on customer behavior, purchase patterns and loyalty drivers.
- Build analytical tools and dashboards to democratize insights and support faster decision-making.
- Coach and mentor analysts, fostering a culture of analytical excellence and business impact.
Other
- Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Applied Mathematics, or a related field.
- 5+ years of experience in applied analytics, preferably in QSR, CPG, or retail.
- Strong business acumen and the ability to translate data into actionable insights for senior leadership.
- Travel requirements not specified
- Clearance requirements not specified
