Analyst, Data Engineer, Firehouse Subs

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 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 . What You'll Do: 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. What You'll Need To Succeed: 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 Knowledge of Point of Sale and Back of House systems is helpful Strong problem-solving and analytical skills Clear communicator, able to work with cross-functional teams #FirehouseSubs 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.