ZipRecruiter

Log In

1

Data Visualization Jobs in Florida (NOW HIRING)

Deloitte

Data Scientist

Tallahassee, FL · On-site

Communicate findings and insights to technical and non-technical audiences through data visualization and presentations. * Stay up to date with the latest trends and technologies in data science and ...

ManTech International

Data Analyst

Tampa, FL · On-site

Collecting customer requirements for analysis, reporting and visualization and determining technical paths to fulfilling them. * Developing custom data querying and manipulation capabilities using ...

Exactech

$57.75 - $74.25/hr

The Data Architect/Data Services Specialist will achieve this by strategically designing ... Performs visualization design; completes challenging visualization projects independently; utilizes ...

Agile Defense

Data Scientist

Tampa, FL · On-site

... with data visualization and storytelling using tools such as Tableau, Plotly, or Matplotlib. • Excellent technical communication skills, with the ability to explain complex concepts to non ...

Sellers & Associates

Data Scientist

Pensacola, FL · On-site

Develop and maintain automated reporting solutions and data visualization products using business intelligence tools * Collaborate with stakeholders, analysts, developers, and government personnel to ...

Gerdau

ENERGY DATA & REPORTING ANALYST

Tampa, FL · On-site

Energy Data and Reporting Analyst is responsible for collecting, analyzing, and presenting energy ... Reporting & Visualization: Create detailed reports, dashboards (e.g., Power BI, Databricks, other ...

Gerdau

ENERGY DATA & REPORTING ANALYST

Tampa, FL

Energy Data and Reporting Analyst is responsible for collecting, analyzing, and presenting energy ... Reporting & Visualization: Create detailed reports, dashboards (e.g., Power BI, Databricks, other ...

next page

Showing results 1-20

All JobsData Visualization JobsData Visualization Jobs in Florida

Data Visualization information

See Florida salary details

$40.4K

$81.8K

$120.7K

How much do data visualization jobs pay per year?

As of Jun 17, 2026, the average yearly pay for data visualization in Florida is $81,792.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $91,900.00 per year, depending on experience, location, and employer.

What Is Data Visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

Can I learn data analyst in 3 months?

Becoming a data analyst in three months is possible with intensive study of core skills such as data manipulation, visualization, and tools like Excel, SQL, and Tableau. However, mastering the role typically requires ongoing learning and practical experience, especially for complex analysis tasks and industry-specific knowledge.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization tools are better positioned to adapt to these technological changes.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, understanding of data, and the ability to communicate insights effectively, often with a background in statistics or computer science. The field offers growth opportunities as organizations increasingly rely on visual data to inform decisions.

What are some common challenges faced by professionals in Data Visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

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

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.

What jobs do data visualization?

Data visualization jobs include roles such as data analyst, data scientist, business intelligence analyst, and data visualization specialist. These roles involve creating visual representations of data using tools like Tableau, Power BI, or Python to help organizations interpret complex information and support decision-making.
More about Data Visualization jobs
What are the most commonly searched types of Data Visualization jobs in Florida? The most popular types of Data Visualization jobs in Florida are:
What are popular job titles related to Data Visualization jobs in Florida? For Data Visualization jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Visualization jobs in Florida look for? The top searched job categories for Data Visualization jobs in Florida are:
What cities in Florida are hiring for Data Visualization jobs? Cities in Florida with the most Data Visualization job openings:
Data Visualization jobs near you
Infographic showing various Data Visualization job openings in Florida as of June 2026, with employment types broken down into 80% Full Time, 2% Part Time, 2% Temporary, and 16% Contract. Highlights an 93% In-person, 2% Hybrid, and 5% Remote job distribution, with an average salary of $81,792 per year, or $39.3 per hour.
Data Scientist

Data Scientist

Deloitte

Tallahassee, FL • On-site

Other

Posted 22 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.

Recruiting for this role ends on June 30th 2026

Work you'll do/Responsibilities

  • Work with stakeholders to identify business problems and formulate them as data science challenges.
  • Collect, clean, and explore large datasets to uncover trends and patterns.
  • Develop and train machine learning models to solve problems such as prediction, classification, and clustering.
  • Validate and deploy models into production environments.
  • Communicate findings and insights to technical and non-technical audiences through data visualization and presentations.
  • Stay up to date with the latest trends and technologies in data science and machine learning.
  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others
  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

The Team 

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

 Required

  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • 5+ Years of Experience in a Data Science or Machine Learning role.
  • 5+ Years of Experience Proficiency in programming languages such as Python or R.
  • 5+ Years of Experience with Strong knowledge of machine learning techniques and algorithms.
  • 5+ Years of Experience with data manipulation and analysis libraries like pandas and NumPy
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred

  • Master's or Ph.D. in a relevant field.
  • Experience with big data technologies like Spark or Hadoop.
  • Experience with deep learning frameworks like TensorFlow or PyTorch.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP.
  • Experience with data visualization tools like Tableau or Power BI.
  • Analytical/ Decision Making Responsibilities
  • Analytical ability to manage multiple projects and prioritize tasks into manageable work products
  • Can operate independently or with minimum supervision
  • Excellent Written and Communication Skills
  • Ability to deliver technical demonstrations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400-207,800

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.

Recruiting for this role ends on June 30th 2026

Work you'll do/Responsibilities

  • Work with stakeholders to identify business problems and formulate them as data science challenges.
  • Collect, clean, and explore large datasets to uncover trends and patterns.
  • Develop and train machine learning models to solve problems such as prediction, classification, and clustering.
  • Validate and deploy models into production environments.
  • Communicate findings and insights to technical and non-technical audiences through data visualization and presentations.
  • Stay up to date with the latest trends and technologies in data science and machine learning.
  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others
  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

The Team 

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

 Required

  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • 5+ Years of Experience in a Data Science or Machine Learning role.
  • 5+ Years of Experience Proficiency in programming languages such as Python or R.
  • 5+ Years of Experience with Strong knowledge of machine learning techniques and algorithms.
  • 5+ Years of Experience with data manipulation and analysis libraries like pandas and NumPy
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred

  • Master's or Ph.D. in a relevant field.
  • Experience with big data technologies like Spark or Hadoop.
  • Experience with deep learning frameworks like TensorFlow or PyTorch.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP.
  • Experience with data visualization tools like Tableau or Power BI.
  • Analytical/ Decision Making Responsibilities
  • Analytical ability to manage multiple projects and prioritize tasks into manageable work products
  • Can operate independently or with minimum supervision
  • Excellent Written and Communication Skills
  • Ability to deliver technical demonstrations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400-207,800

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

Education:OtherEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply