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Data Analyst Jobs in Florida (NOW HIRING)

: Data Analyst Location: Tallahassee, FL 32399 Position Overview:- We are seeking an Entry-Level Web Applications Programmer to support business modernization, data analysis, reporting, and application ...

Data analyst Location: Onsite Long Term Contract Job Summary: We are looking for an IT Data Analyst with proven experience Requesting SOW for worker. The candidate should be proactive and have strong ...

Data Analyst

Lake Mary, FL · On-site

$55 - $62/hr

Data Analyst with MDM & Payments Exp. Location: Pittsburgh, PA /Lake Mary, FL (Day 1 Onsite/ Local or Nearby) Duration: 6 Months C2H Experience Needed: 8-12 Years Note: Candidate must have very good ...

Data Analyst Location: Miami, FL Reports to: Director of Data Department: Engineering About eMed eMed is a pioneering digital-health leader built on its Empathetic AI™ Population Health Platform.

Data Analyst Location: Miami, FL - Onsite 5 days/week Type: 6-month Contract-to-Hire Role Overview We are seeking Data Analysts to join our growing team. This role will focus on building and ...

DATA ANALYST

Tampa, FL

$47K - $77K/yr

DATA ANALYST University of Alabama at Birmingham The majority of the work of this position will entail working with the study investigators to finalize a statistical analysis plan for each research ...

Data Analyst

Tallahassee, FL · On-site

$20 - $28/hr

We are seeking a detail-oriented Data Analyst with at least 1 year of experience to support data-driven decision-making. This role is ideal for someone who enjoys working with data, identifying ...

To continue our growth path, we need a Remote Data Analyst to leverage analytics technology to create, update, and analyze reports for various business units and processes. As a part of the Product ...

Data Analyst

Orlando, FL · On-site +1

$89K - $127K/yr

Data Analyst Location : Remote Salary Range: $89,501- $127,186 per year, depending on experience and qualifications. Employment Type: Full-Time Clearance : Ability to obtain and maintain a Secret U.S.

Job Title: Jr. Data Analyst Job Overview: Contemporary Staffing Solutions is seeking a Jr. Data Analyst to join our client to support data driven decision making across multiple legal and community ...

The Data Analyst will leverage their strong technical background and knowledge to manipulate and analyze data in accordance with data management policies to support mission and business functions and ...

PMA's Risk Control Department is seeking a self-motivated, solution-oriented Data Analyst who enjoys building the data models, tools, systems, and processes necessary to enhance and streamline the ...

The Data Analyst will leverage their strong technical background and knowledge to manipulate and analyze data in accordance with data management policies to support mission and business functions and ...

Data Analyst Location: Tampa ,FL ( hybrid with 3 days onsite per week) Job Requirements Data Analyst with strong experience in Big Data, Cloud (AWS & GCP), and AI/ML-enabled data platforms. Good in ...

Data Analyst

Orlando, FL · Remote

$89K - $127K/yr

Data Analyst Location : Remote Salary Range: $89,501- $127,186 per year, depending on experience and qualifications. Employment Type: Full-Time Clearance : Ability to obtain and maintain a Secret U.S.

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Data Analyst information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do data analyst jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data analyst 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 the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including at 40, as the field values skills like statistical analysis, programming, and data visualization. Many professionals transition into data science or analytics later in their careers by gaining relevant certifications and experience, making age less of a barrier than skill set and continuous learning.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and communicating insights. The role of a data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace the role in the near future.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important in the job search process.

What job does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analyst jobs in Florida? The most popular types of Data Analyst jobs in Florida are:
What cities in Florida are hiring for Data Analyst jobs? Cities in Florida with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Florida as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

Full-time

Posted 3 days ago


Job description

Data AnalystLocation: Tallahassee, FL, 32301
On-site
Job Description:

We are seeking a detail-oriented and analytical Data Analyst to join our team in Tallahassee, FL. The Data Analyst will be responsible for collecting, analyzing, and interpreting data to help inform business decisions and strategies. The ideal candidate will have a strong background in statistics, data analysis, and data visualization.

Responsibilities:
  • Collect and analyze data from various sources
  • Interpret data and identify trends and patterns
  • Create reports and presentations to communicate findings to stakeholders
  • Develop and implement data collection systems and strategies
  • Collaborate with cross-functional teams to drive business decisions
Requirements:
  • Bachelor's degree in a related field (e.g. Statistics, Mathematics, Computer Science)
  • 3-5 Years experience as a Data Analyst or similar role
  • Experience in developing data models, entity relationship diagrams, and SQL-based queries.
  • Practical experience with APIs (REST/SOAP), JSON/XML data formats, and web service orchestration.
  • Familiarity with tools such as Azure Data Share, Informatica, Talend, MuleSoft, or similar platforms.
  • Strong analytical skills and attention to detail
  • Proficiency in data analysis tools and software (e.g. Excel and Tableau)
  • Excellent communication and presentation skills