Analyst, Data Engineer, Firehouse Subs

Restaurant Brands International•Jacksonville, FL

2d•Onsite

About The Position

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 Analyst, Data Engineer will be responsible for designing, building, and maintaining robust data pipelines and ETL processes as well as supporting the data engineering team with analytics, visualization, data governance, and ML. The Analyst will collaborate with the Software Engineering and IT teams as well as cross-functional stakeholders across Operations, Marketing, Supply Chain, and Finance to ensure data accuracy and consistency in data. 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 Jacksonville, FL .

Requirements

1+ years of hands-on experience in data engineering, data analytics, or a related technical field.
Bachelor’s degree in computer science, engineering, or a related field; or equivalent experience
Experience with AWS, including key services such as S3, Glue/EMR, SQS, Step Functions, etc.
Strong programming skills in SQL and Python
Experience querying and building in Snowflake with dbt
Familiarity with version control, continuous integration, and infrastructure as code
Familiarity with a business intelligence reporting tools
Strong problem-solving and analytical skills
Clear communicator, able to work with cross-functional teams

Nice To Haves

Knowledge of Point of Sale and Back of House systems is helpful

Responsibilities

Support the design, build, and maintenance of efficient data pipelines and ETL processes to facilitate seamless data flow.
Help develop and maintain scalable data warehouse solutions to meet growing organizational data needs.
Monitor and troubleshoot data pipelines, identifying and resolving issues promptly and efficiently.
Model data tables and build business intelligence reporting dashboards.
Support the development and execution of the overall data engineering strategy set by the team, aligning with organizational goals.
Work with team and manager to continuously evaluate and implement new technologies and methodologies to enhance data engineering capabilities.