Sr. Analyst, Operations Analytics, Burger King

Ready to make your next big professional move? Join us on our journey to achieve our big dream of building the most loved restaurant brands in the world.    Restaurant Brands International Inc. is one of the world's largest quick service restaurant companies with nearly $45 billion in annual system-wide sales and over 32,000 restaurants in more than 120 countries and territories. RBI owns four of the world's most prominent and iconic quick service restaurant brands – TIM HORTONS®, BURGER KING®, POPEYES®, and FIREHOUSE SUBS®. These independently operated brands have been serving their respective guests, franchisees and communities for decades. Through its Restaurant Brands for Good framework, RBI is improving sustainable outcomes related to its food, the planet, and people and communities. RBI is committed to growing the TIM HORTONS®, BURGER KING®, POPEYES® and FIREHOUSE SUBS® brands by leveraging their respective core values, employee and franchisee relationships, and long track records of community support. Each brand benefits from the global scale and shared best practices that come from ownership by Restaurant Brands International Inc. The Sr. Analyst, Operations Analytics plays a key role in improving restaurant performance, operational efficiency, and the guest experience through data-driven insights. This role is responsible for analyzing key operational metrics, identifying performance trends and opportunities, and developing reporting tools and lightweight applications that enable informed decision-making across the business.  The Sr. Analyst partners cross-functionally with Operations, Brand Standards, Brand Execution, Field Execution, Training, Marketing, Digital, and Finance to translate complex data into actionable insights and recommendations. This role also supports the design and evaluation of operational initiatives, ensuring strategies are grounded in reliable data and aligned with broader business objectives.  The role combines SQL and Python fluency with strong business judgment, and expects current AI tooling and automation to be part of everyday analytical work. We are looking for someone who treats recurring manual work as a problem worth solving rather than a fixed cost of the job.  RBI follows a 5 day, in-office work schedule to support collaboration. Candidates will be expected to work onsite 5 days per week out of our office in Miami, FL .

Analyze restaurant-level operational metrics, including guest satisfaction, speed of service, brand audits, and training completions, to identify performance trends, opportunities, and areas of underperformance.  Conduct root cause analyses to understand performance gaps and develop data-driven recommendations to improve restaurant operations and the guest experience.  Design and evaluate market tests and operational pilots, including test and control group construction and sample sizing, and measure results to inform future business decisions.  Build, maintain, and enhance reporting and analytical tools in Snowflake and Python, including internal applications and automated reporting that replace manual, recurring processes.  Prepare recurring performance reporting on key operational metrics, including drive-thru utilization, hours of operation, and guest satisfaction, and support ad hoc analyses and strategic projects, developing presentations and recommendations for senior leadership.  Propose and implement improvements that remove manual, repetitive, or error-prone work from the team's analytical workflows, using Python, Snowflake, and AI tooling. Document and share working approaches so improvements compound across the team rather than living with one analyst.  Investigate data discrepancies and unexpected results, tracing issues through queries and source tables to identify root cause, and partner with RBI's data teams to resolve upstream problems and confirm the fix held.  Own data quality for team reporting: