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Data Visualization Jobs in Florida (NOW HIRING)

OneBlood

Dir Data Visualization

Orlando, FL · On-site

Defines and executes enterprise data visualization strategy aligned to Finance, Operations, and business objectives * Leads and develops a team of data visualization specialists * Establishes ...

OneBlood

Director of Data Visualization

Orlando, FL · On-site

Defines and executes enterprise data visualization strategy aligned to Finance, Operations, and business objectives * Leads and develops a team of data visualization specialists * Establishes ...

Apex Informatics

Data Architect

Tallahassee, FL · On-site

$60.50 - $78/hr

... for data visualization and reporting to support financial data analysis. • Enhance reporting frameworks to ensure compatibility with new data models and structures. • Work closely with ...

TMS

Data Analyst

Lake Mary, FL · On-site

$55 - $62/hr

... Visualization Create and maintain dashboards reports and visualizations using tools like Tableau Power BI or Excel to present findings to stakeholders Collaboration Work with management data ...

SEI

Data and Analytics Consultant

Miami, FL

Data Visualization The ideal candidate's experience may include but is not limited to the following: * Have experience understanding and solving real business problems * Have experience with ...

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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 Jul 30, 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.

Is 40 too late for data science?

Data visualization is a key skill in data science, and individuals can successfully transition into this field at any age, including 40. Building relevant skills such as proficiency in tools like Tableau or Power BI, along with foundational knowledge in statistics and programming, can facilitate entry regardless of age, as employers value experience and diverse perspectives.

Can I be a data analyst with no experience?

Data analysts typically need some familiarity with data analysis tools like Excel, SQL, or visualization software such as Tableau. While prior experience is often preferred, entry-level positions may be available for those who demonstrate strong analytical skills and a willingness to learn through courses or certifications. Building a portfolio of projects can also improve chances of securing a data analyst role without formal experience.

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 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, knowledge of data tools, and the ability to communicate insights effectively, making it a growing field with demand across many industries.

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 positions 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 July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,792 per year, or $39.3 per hour.

Dir Data Visualization

OneBlood

Orlando, FL • On-site

Full-time

Posted 13 days ago

OneBlood rating

6.6

Company rating: 6.6 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

571st of 890 rated healthcare providers

Job description

Overview
Strategic leadership role responsible for transforming complex financial and operational data into actionable insights through advanced visualization solutions. This position bridges Finance and IT, leading the design, development, and governance of data visualizations to support executive decision-making, performance management, and business intelligence initiatives.
Responsibilities
ESSENTIAL FUNCTIONS:
The list of essential functions, as outlined herein, is intended to be representative of the duties and responsibilities performed within this classification. It is not necessarily descriptive of any one position in the class. The omission of an essential function does not preclude management from assigning duties not listed herein if such functions are a logical assignment to the position.
  • Defines and executes enterprise data visualization strategy aligned to Finance, Operations, and business objectives
  • Leads and develops a team of data visualization specialists
  • Establishes governance, standards, and best practices for dashboards and reporting
  • Partners with Finance (FP&A, Accounting) and operational leaders to enable data-driven decisions
  • Designs and delivers scalable, high-performance dashboards and reporting solutions
  • Translates complex financial and operational data into clear, executive-level insights
  • Ensures data accuracy, consistency, integrity, security, and usability across visualization platforms
  • Collaborates with stakeholders and IT to define KPIs, optimize data models, and integrate with enterprise systems
  • Enables self-service analytics and supports budgeting, forecasting, and performance tracking
  • Drives innovation through automation, advanced analytics, and adoption of new visualization tools and best practices

Qualifications
QUALIFICATIONS:
To perform this job successfully, an individual must be able to perform each essential duty and responsibility satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
EDUCATION AND/OR EXPERIENCE:
Bachelor's degree in Finance, Information Systems, Data Analytics, or related field, MBA preferred, and ten (10) years of experience in data analytics, business intelligence, or financial reporting and five (5) years of experience with Tableau (or similar BI tools) in a leadership capacity; or an equivalent combination of education, certification, training, and/or experience.
CERTIFICATES, LICENSES, REGISTRATIONS AND DESIGNATIONS:
None
KNOWLEDGE, SKILLS AND ABILITIES:
  • Experience working at the intersection of Finance and IT
  • Advanced proficiency in Tableau (desktop, server, data structures and reporting frameworks
  • Working knowledge of medallion architecture and the ability to consume and interpret gold-layer data for reporting and analysis.
  • Proficient in data modeling, including building and optimizing semantic models, defining relationships, and writing DAX measures and / or calculated fields.
  • Experience with SQL, data warehouses, and ETL process
  • Familiarity with ERP systems (e.g. UKG, Sage Intacct)
  • Proven ability to lead cross-functional teams and drive strategic initiatives
  • Strong executive communication and storytelling skills using data
  • Ability to simplify complex data into clear, impactful insights
  • High attention to detail with a focus on accuracy and business relevance
  • Ability to travel up to 10% of the time.

PHYSICAL REQUIREMENTS:
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.
Functions involve the periodic performance of moderately physically demanding work, usually involving lifting, carrying, pushing and/or pulling of moderately heavy objects and materials (up to 25 pounds). Tasks that require moving objects of significant weight require the assistance of another person and/or use of proper techniques and moving equipment. Tasks may involve some climbing, stooping, kneeling, crouching, or crawling. Must be able to safely operate assigned vehicles possibly long distances.

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