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Data Analyst R Jobs in Florida (NOW HIRING)

Data Analyst

Orlando, FL · On-site

$70 - $100/hr

Certifications in data analysis software (such as SAS, R, Python), big data technologies, or business intelligence platforms like Tableau or Power BI are highly desirable. 2. Professional Experience:

Data analysts will work with government customers across the globe to determine their current ... Work with engineering teams to design algorithms and data manipulation capabilities using R, Python ...

... R, as well as advanced data cleaning and preprocessing techniques and tools • Effective skill with analytical techniques required for data usage and data cleaning • Skill interpreting ...

Data analysts will work with government customers across the globe to determine their current ... Work with engineering teams to design algorithms and data manipulation capabilities using R, Python ...

The Data Analyst will leverage their strong technical background and knowledge to manipulate and ... Developing custom data querying and manipulation capabilities using languages such as R, Python ...

The Data Analyst will leverage their strong technical background and knowledge to manipulate and ... Developing custom data querying and manipulation capabilities using languages such as R, Python ...

The Data Analyst will leverage their strong technical background and knowledge to manipulate and ... Developing custom data querying and manipulation capabilities using languages such as R, Python ...

Data Analyst

Lake City, FL · On-site

$65 - $90/hr

As a Data Analyst at North Florida Pediatrics within the Health Care industry, you r esponsible for reporting, compiling and organizing healthcare data, analyzing data to assist in delivering optimal ...

Data Analyst

Fort Walton Beach, FL · On-site

$58 - $138/hr

Role This role is for a Data Analyst on a close-knit team supporting Air Force Special Operations ... Design algorithms and data manipulation capabilities using R, Python, C++, JavaScript, Go, and ...

DATA ANALYST

Tampa, FL · On-site

$65 - $90/hr

Strong proficiency in data analysis tools and programming languages like Python, R, SQL, and data visualization tools like Tableau or Power BI. * Experience with machine learning algorithms, AI ...

Other degrees are acceptable if a candidate has deep technical experience with Snowflake, SQL, Python, R to pair with Data Analytics experience. * Sigma experience is required. * Reporting tool ...

Strong proficiency in data analysis tools and programming languages like Python, R, SQL, and data visualization tools like Tableau or Power BI. * Experience with machine learning algorithms, AI ...

Strong proficiency in data analysis tools and programming languages like Python, R, SQL, and data visualization tools like Tableau or Power BI. * Experience with machine learning algorithms, AI ...

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Showing results 1-20

Data Analyst R information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do data analyst r jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data analyst r in Florida is $61,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $72,500.00 per year, depending on experience, location, and employer.

What is a data analyst R?

A Data Analyst R job involves analyzing and interpreting data using the R programming language. Professionals in this role collect, clean, and process data, then apply statistical techniques and visualizations to extract insights. They work with databases, create reports, and support decision-making in business, healthcare, finance, or other industries. Proficiency in R, SQL, and data visualization tools is essential.

What does a data analyst R do?

A Data Analyst R typically spends their day extracting, cleaning, and analyzing large datasets using R, generating reports, and building data visualizations to communicate findings. Collaboration is a key aspect, as analysts often work closely with business stakeholders, IT teams, and fellow analysts or data scientists to define project objectives and interpret results. Regular meetings, presentation of findings, and participation in problem-solving discussions are common parts of the workflow. This collaborative, dynamic environment helps ensure that data-driven insights effectively support organizational goals and decision-making processes.

What skills and qualifications are needed for a data analyst R?

To excel as a Data Analyst R, candidates require strong analytical abilities, proficiency in statistical modeling, and a solid background in mathematics or related fields, often supported by a relevant degree. Expertise in the R programming language, knowledge of data visualization libraries, and experience with database querying (such as SQL) are commonly expected; certifications in data analysis or R programming can be advantageous. Attention to detail, critical thinking, and effective communication skills help data analysts translate complex data insights into actionable business recommendations. These competencies enable Data Analyst R professionals to accurately interpret data, efficiently support business decisions, and foster collaboration across departments.

What are popular job titles related to Data Analyst R jobs in Florida?

For Data Analyst R jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Data Analyst R jobs in Florida look for?

The top searched job categories for Data Analyst R jobs in Florida are:

Infographic showing various Data Analyst R job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

$70 - $100/hr

Other

Posted 15 days ago


Job description

  • Minimum Requirement: Bachelor's degree in Data Science, Statistics, Computer Science, Information Management, or a related field.
  • Preferred Qualification: Master's degree in Data Science, Business Analytics, or a related discipline.
  • Certifications: Certifications in data analysis software (such as SAS, R, Python), big data technologies, or business intelligence platforms like Tableau or Power BI are highly desirable.
2. Professional Experience:
  • Minimum Years of Experience: At least 3-5 years of experience in data analysis, preferably within the sectors relevant to the project such as government, healthcare, or public administration.
  • Specific Experience: Experience with managing and analyzing large datasets, creating reports, and providing actionable insights. Experience in working with compliance or regulatory data within a structured project environment is a plus.
3. Skills and Competencies:
  • Analytical Skills: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Technical Skills: Proficiency in database management and data analysis software (e.g., SQL, Python, R), as well as advanced proficiency in spreadsheet tools like Microsoft Excel.
  • Communication Skills: Excellent communication skills to effectively present findings and insights to both technical and non-technical stakeholders.
4. Knowledge:
  • Statistical and Mathematical Knowledge: Solid understanding of statistical testing and modeling techniques that are essential for analyzing complex data.
  • Data Privacy and Security Knowledge: Awareness of data privacy standards and best practices, especially in handling sensitive or personal data, which is crucial in government and healthcare sectors.
  • Problem-solving Abilities: Ability to approach complex data-related problems with a clear analytical methodology and solve them efficiently.
  • Attention to Detail: Meticulous attention to detail to ensure the accuracy of data and analysis.
  • Proactivity: Proactive in identifying trends, anomalies, and opportunities in the data to drive project objectives.
6. Responsibilities:
  • Data Collection and Management: Collect, process, and clean data from multiple sources to ensure it is ready for analysis.
  • Data Analysis and Reporting: Analyze data using statistical techniques and tools, and create reports and dashboards that clearly communicate the findings and recommendations.
  • Support Decision Making: Provide data-driven insights to support strategic decisions and project initiatives.
  • Continuous Learning: Stay updated with the latest trends, tools, and technologies in data analysis to enhance project outcomes and efficiency.

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