Data Analyst Visa Sponsorship Jobs in Florida
Florida's data analyst job market spans finance and banking in Miami, aerospace and defense contractors around Orlando and the Space Coast, and a growing tech sector in Tampa. Major employers like Lockheed Martin, Carnival Corporation, and Citi have sponsored data analyst roles in the state, making Florida a realistic target for international candidates.
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Get Access To All JobsINTRODUCTION
The Senior Revenue Data Analyst leads projects that leverage advanced data science skills to develop scalable tools, analyses, and reporting that improve Revenue Management performance. As an expert in Python and SQL, the role uses PySpark, Databricks, Tableau, and other analytics tools to tackle complex problems involving large sets of structured and unstructured data, transforming them into actionable insights and reliable solutions that improve business decision-making.
Note: this role will be required to work from our Estero, FL office at least 4 days per week.
The starting salary for this role is $75,000, commensurate with experience.
ROLE AND RESPONSIBILITIES
What You’ll Do:
- Market management reporting: Analyze data and build reports in Tableau to provide visibility into key metrics and optimize revenue for the North America RAC division.
- Leadership reporting: Perform KPI evaluation, statistical testing, root-cause analysis, and forecasting to answer key Revenue Management leadership questions and present data-driven solutions clearly and strategically.
- Data maintenance and source ownership: Lead data-focused projects by designing, mapping, monitoring, maintaining, and troubleshooting Databricks data pipelines and sources that support reporting, ensuring data accuracy, reliability, and minimal downtime.
- Automation: Transform manual processes into automated processes or applications that prioritize efficiency and accuracy, giving business users more time to spend on revenue-accretive functions. Examples include alerts, algorithmic bid processing, automated data archiving, application design for user input, and automated data entry using virtual machines or bots through tools such as Python, PySpark, Databricks Apps, and Power Automate.
- Collaborate and communicate across teams: Work closely with internal and external teams to test, relay feedback, and ensure alignment with desired business outcomes.
- Data storytelling: Summarize and clearly communicate projects to stakeholders by explaining the business problem, presenting findings, designing a solution, and sharing the measured revenue impact.
- Continuous improvement: Build technical, functional, and professional expertise through ongoing development opportunities and emerging analytics practices. Identify and implement improvements that increase individual and team effectiveness. Mentor and develop data analysts by sharing best practices, providing guidance, and expanding the team’s overall capabilities and bench strength.
BASIC QUALIFICATIONS
What We’re Looking For:
- Bachelor’s degree or equivalent required; preferably in statistics, data science, business analytics, machine learning, computer science, mathematics or another analytical field
- Minimum of 2 years previous experience in data or business analytics or 1 year experience and a master’s degree in the relevant subject matter required
- Technical skills required: SQL, Python
- Technical skills preferred: PySpark, Databricks, Tableau
- Useful technical skills for the role: R, machine learning, forecasting, other data visualization tools
- Proficient in critical thinking, problem solving and adaptability
- Expertise in collaborating with stakeholders to support, develop, and enhance reporting and tools
- An effective data storyteller who explains complex problems, presents insights, and develops creative solutions for audiences with varying levels of technical knowledge across the organization
- Knowledge of revenue optimization, pricing science, economics, statistics and probability principles required
PREFERRED QUALIFICATIONS
What You’ll Get:
- 40% off any standard Hertz Rental
- Paid Time Off
- Medical, Dental & Vision plan options
- Retirement programs, including 401(k) employer matching.
- Paid Parental Leave & Adoption Assistance
- Employee Assistance Program for employees & family
- Educational Reimbursement & Discounts
- Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness
- Perks & Discounts –Theme Park Tickets, Gym Discounts & more
LOCATION
Estero, FL
US EEO STATEMENT
At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture – and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique.
EOE, including disability/veteran
INTRODUCTION
The Senior Revenue Data Analyst leads projects that leverage advanced data science skills to develop scalable tools, analyses, and reporting that improve Revenue Management performance. As an expert in Python and SQL, the role uses PySpark, Databricks, Tableau, and other analytics tools to tackle complex problems involving large sets of structured and unstructured data, transforming them into actionable insights and reliable solutions that improve business decision-making.
Note: this role will be required to work from our Estero, FL office at least 4 days per week.
The starting salary for this role is $75,000, commensurate with experience.
ROLE AND RESPONSIBILITIES
What You’ll Do:
- Market management reporting: Analyze data and build reports in Tableau to provide visibility into key metrics and optimize revenue for the North America RAC division.
- Leadership reporting: Perform KPI evaluation, statistical testing, root-cause analysis, and forecasting to answer key Revenue Management leadership questions and present data-driven solutions clearly and strategically.
- Data maintenance and source ownership: Lead data-focused projects by designing, mapping, monitoring, maintaining, and troubleshooting Databricks data pipelines and sources that support reporting, ensuring data accuracy, reliability, and minimal downtime.
- Automation: Transform manual processes into automated processes or applications that prioritize efficiency and accuracy, giving business users more time to spend on revenue-accretive functions. Examples include alerts, algorithmic bid processing, automated data archiving, application design for user input, and automated data entry using virtual machines or bots through tools such as Python, PySpark, Databricks Apps, and Power Automate.
- Collaborate and communicate across teams: Work closely with internal and external teams to test, relay feedback, and ensure alignment with desired business outcomes.
- Data storytelling: Summarize and clearly communicate projects to stakeholders by explaining the business problem, presenting findings, designing a solution, and sharing the measured revenue impact.
- Continuous improvement: Build technical, functional, and professional expertise through ongoing development opportunities and emerging analytics practices. Identify and implement improvements that increase individual and team effectiveness. Mentor and develop data analysts by sharing best practices, providing guidance, and expanding the team’s overall capabilities and bench strength.
BASIC QUALIFICATIONS
What We’re Looking For:
- Bachelor’s degree or equivalent required; preferably in statistics, data science, business analytics, machine learning, computer science, mathematics or another analytical field
- Minimum of 2 years previous experience in data or business analytics or 1 year experience and a master’s degree in the relevant subject matter required
- Technical skills required: SQL, Python
- Technical skills preferred: PySpark, Databricks, Tableau
- Useful technical skills for the role: R, machine learning, forecasting, other data visualization tools
- Proficient in critical thinking, problem solving and adaptability
- Expertise in collaborating with stakeholders to support, develop, and enhance reporting and tools
- An effective data storyteller who explains complex problems, presents insights, and develops creative solutions for audiences with varying levels of technical knowledge across the organization
- Knowledge of revenue optimization, pricing science, economics, statistics and probability principles required
PREFERRED QUALIFICATIONS
What You’ll Get:
- 40% off any standard Hertz Rental
- Paid Time Off
- Medical, Dental & Vision plan options
- Retirement programs, including 401(k) employer matching.
- Paid Parental Leave & Adoption Assistance
- Employee Assistance Program for employees & family
- Educational Reimbursement & Discounts
- Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness
- Perks & Discounts –Theme Park Tickets, Gym Discounts & more
LOCATION
Estero, FL
US EEO STATEMENT
At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture – and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique.
EOE, including disability/veteran
Data Analyst Job Roles in Florida
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Search Data Analyst Jobs in FloridaData Analyst Jobs in Florida: Frequently Asked Questions
Which companies in Florida sponsor visas for data analysts?
Several large Florida employers have a track record of sponsoring work visas for data analysts. These include Citi and other financial institutions concentrated in Miami, Lockheed Martin and Boeing near Orlando and the Space Coast, and health systems like AdventHealth and HCA Florida. Large hospitality and travel companies such as Carnival Corporation and Walt Disney World also hire data analysts and have sponsored visas for qualified candidates.
Which visa types are most common for data analyst roles in Florida?
The H-1B visa is the most common visa for data analyst roles in Florida, as the role generally qualifies as a specialty occupation requiring at least a bachelor's degree in a related field such as statistics, computer science, or mathematics. Candidates already authorized under OPT or STEM OPT are also frequently hired before an employer pursues H-1B sponsorship. Nationals from Australia may be eligible for the E-3 visa, and Canadian and Mexican citizens can explore the TN visa under the data analyst or mathematician category.
Which cities in Florida have the most data analyst visa sponsorship jobs?
Miami leads Florida for data analyst sponsorship activity, driven by its concentration of financial services, international trade, and technology firms. Orlando is a strong second, with aerospace, defense, and theme park operators generating consistent demand for analytics talent. Tampa has grown significantly as a tech and healthcare hub, with companies like Raymond James and several large hospital networks actively hiring. Jacksonville also contributes through its banking and insurance sector.
How to find data analyst visa sponsorship jobs in Florida?
Migrate Mate is built specifically for international candidates seeking visa sponsorship and lets you filter data analyst roles by state, including Florida. Unlike general job boards, every listing on Migrate Mate is screened for sponsorship eligibility, which saves time when you're targeting employers willing to file an H-1B or other work visa petition. Filtering by Florida on Migrate Mate surfaces roles across Miami, Orlando, Tampa, and Jacksonville from employers with a history of sponsoring international talent.
Are there any Florida-specific factors that affect data analyst visa sponsorship?
Florida has no state income tax, which can make total compensation comparisons with other states more straightforward, but the H-1B prevailing wage requirement is still calculated by the Department of Labor based on the specific metropolitan area and job level. Miami and Orlando tend to have higher prevailing wages than smaller Florida metros, which affects what employers must offer. Florida also has several strong university pipelines, including the University of Florida and the University of Miami, that feed local employers with OPT-eligible data analysts who may later seek H-1B sponsorship.
What is the prevailing wage for sponsored data analyst 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.