Sr. Analyst, Operations Analytics, Burger King

Burger King; Miami (FL); On-site; USD 85,000 - 125,000; Full time

Benefits offered by this job

Global benefits

Parental leave program

Telemedicine

Mental wellness

Job summary

Burger King is seeking a Sr. Analyst, Operations Analytics to drive data-informed improvements in restaurant performance and guest experience. The role focuses on operational metrics, reporting, and lightweight apps using SQL, Python, and AI tooling.

The position requires strong data skills, cross-functional collaboration, and a proactive approach to automate recurring work. This role is based in Miami and is an in-office, five-day-per-week opportunity within RBI's world-leading restaurant

Qualifications

• 3+ years of experience in an analytical role within Operations, Marketing, Finance, Business Analytics, or a related function.
• Bachelor’s degree in Business, Data Science, Statistics, Finance, Analytics, or a related field.
• Strong SQL skills and experience working with cloud data warehouses; Snowflake experience preferred.
• Proficiency in Python for data analysis and automation, including independently writing and debugging scripts; Streamlit or similar experience is a plus.
• Strong troubleshooting skills with the ability to identify and resolve data, logic, query, and reporting issues.
• Hands-on experience using AI tools such as ChatGPT, Claude, or Gemini for analytical workflows, coding, automation, and productivity, with a strong approach to validating AI-generated outputs.
• Experience programmatically applying large language models to analyze, classify, summarize, or structure data is a plus.
• Familiarity with experimental design and statistical analysis, including control groups, sample sizing, and assessing statistical significance.
• Strong data storytelling skills, including creating executive-ready Excel, PowerPoint, and analytical deliverables.
• Strong analytical and business judgment with the ability to translate complex data into actionable insights and recommendations.
• Self-directed and intellectually curious, with a demonstrated ability to quickly learn and apply new tools and technologies.
• Strong communication, organization, and cross-functional collaboration skills, with the ability to manage multiple priorities in a fast-paced environment.

Responsibilities

• Analyze restaurant-level operational metrics to identify performance trends and opportunities.
• Conduct root cause analyses to understand gaps and develop data-driven recommendations.
• Design and evaluate market tests and pilots, measure results to inform decisions.
• Build, maintain, and enhance reporting and analytical tools in Snowflake and Python, including automated reporting.
• Prepare recurring performance reporting on key metrics and support ad hoc analyses for leadership.
• Propose and implement improvements to automate workflows using Python, Snowflake, and AI tooling.
• Investigate data discrepancies, trace issues to source tables, and coordinate with RBI data teams to resolve problems.
• Own data quality for team reporting; onboard and validate new data sources and maintain metric definitions.
• Collaborate cross-functionally with Operations, Brand Standards, Field Execution, Training, Marketing, Digital, and Finance.

Skills

SQL

Python

AI tools

Data storytelling

Cross-functional collaboration

Analytical thinking

Communication

Education

Bachelor's degree in Business or Data Science or Analytics

Tools

Snowflake

Streamlit

Job description

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.

What You'll Do

• 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: onboard and validate new data sources and vendor feeds, maintain metric continuity through vendor or survey instrument changes, and document metric definitions and query logic so analyses are reproducible by others.
• Partner cross-functionally with Operations, Brand Standards, Brand Execution, Field Execution, Training, Marketing, Digital, and Finance, and collaborate with franchisee partners to understand business needs and support execution of key operational initiatives.
• Apply text and sentiment analysis to extract themes from unstructured guest comments at scale.

What You'll Need To Succeed

• 3+ years of experience in an analytical role within Operations, Marketing, Finance, Business Analytics, or a related function.
• Bachelor’s degree in Business, Data Science, Statistics, Finance, Analytics, or a related field.
• Strong SQL skills and experience working with cloud data warehouses; Snowflake experience preferred.
• Proficiency in Python for data analysis and automation, including independently writing and debugging scripts; Streamlit or similar experience is a plus.
• Strong troubleshooting skills with the ability to identify and resolve data, logic, query, and reporting issues.
• Hands-on experience using AI tools such as ChatGPT, Claude, or Gemini for analytical workflows, coding, automation, and productivity, with a strong approach to validating AI-generated outputs.
• Experience programmatically applying large language models to analyze, classify, summarize, or structure data is a plus.
• Familiarity with experimental design and statistical analysis, including control groups, sample sizing, and assessing statistical significance.
• Strong data storytelling skills, including creating executive-ready Excel, PowerPoint, and analytical deliverables.
• Strong analytical and business judgment with the ability to translate complex data into actionable insights and recommendations.
• Self-directed and intellectually curious, with a demonstrated ability to quickly learn and apply new tools and technologies.
• Strong communication, organization, and cross-functional collaboration skills, with the ability to manage multiple priorities in a fast-paced environment.

BurgerKing

Benefits at all of our global offices are focused on physical, mental and financial wellness. We offer unique and progressive benefits, including a comprehensive global paid parental leave program that supports employees as they expand their families, free telemedicine and mental wellness support.

Restaurant Brands International and all of its affiliated companies (collectively, RBI) are equal opportunity and affirmative action employers that do not discriminate on the basis of race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or veteran status, or any other characteristic protected by local, state, provincial or federal laws, rules, or regulations. RBI's policy applies to all terms and conditions of employment. Accommodation is available for applicants with disabilities upon request.