Analytics Engineer Visa Sponsorship Jobs in Florida
Florida's analytics engineer market spans Miami's fintech and e-commerce sector, Tampa's healthcare IT hubs, and Orlando's growing tech corridor. Major employers including Chewy, Modernizing Medicine, and Raymond James have sponsored analytics engineering roles here. With a concentration of data-driven industries and no state income tax, Florida attracts international talent across multiple visa categories.
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Get Access To All JobsINTRODUCTION
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.
ROLE AND RESPONSIBILITIES
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.
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.
BASIC QUALIFICATIONS
- 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.
LOCATION
Candidates should be comfortable working onsite 5 days per week out of our office in Miami, FL.
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.
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.
INTRODUCTION
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.
ROLE AND RESPONSIBILITIES
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.
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.
BASIC QUALIFICATIONS
- 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.
LOCATION
Candidates should be comfortable working onsite 5 days per week out of our office in Miami, FL.
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.
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.
Analytics Engineer Job Roles in Florida
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Search Analytics Engineer Jobs in FloridaAnalytics Engineer Jobs in Florida: Frequently Asked Questions
Which companies in Florida sponsor visas for analytics engineers?
Florida-based employers with a track record of sponsoring analytics engineering talent include Chewy, Modernizing Medicine, Raymond James, Tech Data, and Carnival Corporation. Healthcare systems like AdventHealth and Tampa General Hospital also hire analytics engineers and have sponsored H-1B visa petitions. Sponsorship is more common at mid-size and enterprise companies with established data or IT departments than at early-stage startups.
Which visa types are most common for analytics engineer roles in Florida?
The H-1B is the most common visa for analytics engineers in Florida. The role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, data engineering, statistics, or a related field. Australian citizens may qualify for the E-3 visa, and Canadian and Mexican nationals may qualify under the TN visa category. L-1B transfers are an option for those already employed by a multinational with a U.S. office.
Which cities in Florida have the most analytics engineer sponsorship jobs?
Miami leads in analytics engineering hiring, driven by its fintech, e-commerce, and logistics sectors. Tampa has a concentration of healthcare IT and financial services employers, including Raymond James and WellCare Health Plans. Orlando's tech scene has expanded with modeling, simulation, and hospitality-data companies. Jacksonville, while smaller, hosts several insurance and logistics firms that actively hire data professionals.
How to find analytics engineer visa sponsorship jobs in Florida?
Migrate Mate filters analytics engineer jobs in Florida by verified visa sponsorship, so you're not manually sorting through postings that don't apply to international candidates. Search by role and state on Migrate Mate to see which Florida employers are actively hiring and have a history of sponsoring work visas. This is more efficient than broad job searches that mix sponsored and non-sponsored listings.
Are there any Florida-specific considerations for analytics engineers seeking visa sponsorship?
Florida has no state income tax, which affects prevailing wage comparisons, since total compensation benchmarks used in H-1B Labor Condition Applications reflect local market rates set by the Department of Labor. Florida's university pipeline, including the University of Florida, University of Miami, and University of South Florida, produces data engineering graduates who stay in-state, creating competitive but active hiring markets. Miami's international business orientation also means some employers are more familiar with sponsorship processes than in other Sunbelt metros.
What is the prevailing wage for sponsored analytics engineer jobs in Florida?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.