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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.

As an Analytics Engineer I, you will be responsible for transforming raw operational data into structured, reliable, and reusable analytical datasets that power analytics, forecasting, and decision-making across the organization.

This is a data-centric role that sits at the intersection of engineering, analytics, and the business. You will work primarily in Snowflake, using SQL to build and maintain analytical data models, define business-critical metrics, and ensure the integrity of the analytical layer.

You will collaborate with other Data Engineers, Analysts, and business stakeholders to develop data assets that support initiatives aimed at driving EBITDA and strengthening the brand.

RBI follows a 5 day, in-office work schedule to support collaboration. Candidates should be comfortable working onsite 5 days per week out of our office in Miami, FL.

What You'll Do:

• Design, build, and maintain structured analytical datasets using SQL to transform raw data into clean, business-ready tables.
• Define and maintain standardized business metrics, ensuring consistency and accuracy across analytical use cases.
• Implement and maintain data quality checks to ensure analytical datasets are accurate, reliable, and aligned with business rules.
• Develop production-ready, version-controlled data assets that are reusable, maintainable, and support multiple analytical applications.
• Partner with analysts and stakeholders to translate business needs into structured data models and analytical datasets.

What You Bring:

• Bachelor’s degree in computer science, engineering, information systems, or data science
• Strong proficiency in SQL for data transformation and data modeling.
• Experience working with Snowflake or similar cloud data warehouse technologies.
• Familiarity with version control systems such as Git.
• Basic proficiency in Python is a plus.
• Familiarity with workflow orchestration tools such as Dagster, Airflow, or similar is a plus.
• Familiarity with AWS environments (e.g., S3) is a plus.
• Understanding of data modeling concepts (e.g., building structured, reusable datasets).
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.

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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.