Analyst, Guest Intelligence, Burger King

Restaurant Brands International • Miami, FL

9d • Onsite

About The Position

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. As an Analyst, Guest Intelligence, you will analyze guest-level data to uncover insights that drive growth, retention, and marketing effectiveness. You will work with large datasets to understand guest behaviors, lifecycle patterns, and campaign performance. This role goes beyond reporting - you will help translate data into actionable recommendations that influence CRM, loyalty, and promotional strategies. This is an ideal role for someone who is technically curious, analytically rigorous, and excited about using data to shape business decisions. ideal candidate has foundational experience in SQL and Tableau, is comfortable working with large datasets, and is eager to continue building technical and analytical expertise. Familiarity with Python and data warehousing concepts (especially Snowflake) is a plus but not required. 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.

Requirements

• Bachelor's degree in a quantitative field (Statistics, Economics, Computer Science, Mathematics, etc.).
• 1-2 years of experience or coursework using SQL to manipulate and analyze large datasets.
• Strong analytical thinking with ability to move from raw data to insight and recommendation.
• Experience with BI tools (Tableau, Power BI, etc.).
• Effective communication skills to explain analytical findings to both technical and non-technical audiences.

Nice To Haves

• Familiarity with Python or R for deeper analysis preferred but not required.
• Familiarity with data warehousing concepts (especially Snowflake) is a plus but not required.

Responsibilities

• Use SQL to analyze guest-level transactions and behavioral data to uncover trends in frequency, retention, and engagement
• Support the definition and standardization of guest-level metrics and the development of segmentation frameworks
• Partner with cross-functional teams to measure campaign impact and guest-level incrementality.
• Contribute to test-and-learn frameworks to evaluate initiatives and improve marketing effectiveness
• Proactively identify opportunities to improve guest experience and business performance through data
• Collaborate with Data Engineering team to ensure guest data is reliable, structured, and scalable.
• Create clear, compelling visualizations and reports to communicate insights to stakeholders.
• Support the enhancement of reporting tools and methods to improve data storytelling.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level