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Data Analyst Jobs in Florida (NOW HIRING)

Data Analyst

Tampa, FL ยท On-site

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

Miami, FL ยท On-site

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

Orlando, FL ยท On-site

$70 - $100/hr

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 ...

Role This role is for a Data Analyst on a close-knit team supporting Air Force Special Operations Command (AFSOC) at Hurlburt Field, FL. This team is at the center of helping the command empower and ...

Role This role is for a Data Analyst on a close-knit team supporting Air Force Special Operations Command (AFSOC) at Hurlburt Field, FL. This team is at the center of helping the command empower and ...

Role This role is for a Data Analyst on a close-knit team supporting Air Force Special Operations Command (AFSOC) at Hurlburt Field, FL. This team is at the center of helping the command empower and ...

As Data Analyst, you will have the opportunity to thrive in a fast-moving, fluid environment, and be passionate about implementing change, great processes and procedures in a commercial setting at a ...

Data analysts will work with government customers across the globe to determine their current capabilities as a data-driven organization, conducting interviews with technical staff to generate ...

Data analysts will work with government customers across the globe to determine their current capabilities as a data-driven organization, conducting interviews with technical staff to generate ...

Data Analyst

Miami, FL ยท On-site

We are seeking to expand our team with a strategic, detail-oriented, and highly analytical Data Analyst across various seniority levels. The successful candidate will be instrumental in transforming ...

Data Analyst

Miami, FL ยท On-site +1

$75K - $85K/yr

Data Analyst Location: Remote (Central or Eastern U.S.) Compensation : $75,000-$85,000 DOE annual base salary + 10% annual target bonus Visa Sponsorship: Currently, World Fuel is unable to provide ...

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Showing results 1-20

Data Analyst information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do data analyst jobs pay per year?

As of Aug 23, 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 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.

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 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.

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.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

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.

What work 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 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.

Data Analyst

ACI Infotech

Tampa, FL โ€ข On-site

Full-time

Re-posted 21 days ago


Job description

Job Title: 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 skills in Data Analysis and visualization. Please would you submit your rates with some CVs for potential candidates?
Below you can see the details of the profile we are looking for:
Business analyst skills: work statistical indicators, metric, ratios, etc. for business needs.
Data analyst with data flow experience, design-design and build data models from data sources to front- end-extract, clean and transform data sources. Experience in analysis using multiple data sources (ERP, CRM, SQL, APIs, etc.).
Financial data experience.
Power BI: data transformation (power query M language), data modelling( DAX), workspace, PBI Builder, build permissions, dynamic RLS, data analysis and power BI (quality in the visuals-max functionalities).
Power Apps & Power Automate: Design and implementation of customized tools for the business.
Data engineer: ETL process, data warehouse, Snowflake.
Wide experience in collaboration with business partners for collection of new requirements and translation into technical solutions.
Bachelor's degree in computer science, mathematics, or statistics preferred.
Proactiveness.