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Data Visualization Jobs in Florida (NOW HIRING)

KaashTech LLC

Data Engineer

Tampa, FL · On-site

$104K - $125K/yr

This role requires a deep understanding of data modeling, ETL processes, and data visualization techniques. Responsibilities * Design, develop, and maintain scalable data pipelines and architectures ...

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 9, 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
Data Visualization Developer

Data Visualization Developer

Brigham Young University-Hawaii

Miami Beach, FL • On-site

Part-time

Posted 21 days ago

Job description

Students may only have 5 open job applications at a time.

Work Experience:

Intermediate (Developing Skills)

Work Experience Description:

Ideal for students who have begun gaining relevant experience and are building their skills through internships, part-time jobs, or significant projects. Typically aimed at sophomores or juniors who have completed a combination of introductory and advanced coursework.

Job Summary

The Data Visualization Developer supports Institutional Research by managing and analyzing data, creating and updating dashboards, and collaborating with other departments on data issues. Utilizes basic IT knowledge to analyze, design, program, debug, test, modify, and write documentation and procedures for installation and maintenance of PowerBI dashboards and related technologies.

Primary Responsibilities

  • Develops, modifies, and maintains data visualizations and dashboards for university priorities.

  • Provides support, technical assistance, and/or training to end-users on dashboards and datasets.

  • Work with customers to ensure data specifications address the customer's business requirements.

  • Use SQL, R, and other technologies for building statistical analysis and extracting data.

  • Assist in cleaning datasets, maintaining databases (including understanding database structure), ensuring data accuracy, and proposing solutions for data integrity issues.

  • Contributes to the Data Visualization (PowerBI) group on campus.

  • Performs other duties as assigned.

Qualifications

  • Problem-solving and critical thinking abilities.

  • An understanding of database structure and data integrity, including an ability to clean and manage datasets.

  • Connecting data sources via various methods.

  • Familiarity with basic statistical concepts (e.g., descriptive statistics) and software (e.g., R, Excel, SPSS).

  • Familiarity and experience with survey and data visualization software (e.g., Qualtrics, Domo).

  • Ability to make meaning of data using appropriate graphs and charts.

  • Intermediate computer programming.

  • Strong verbal communication and presentation skills.

  • Proficient in report writing and interpretation of technical documents.

  • Ability to start a project and complete it quickly and accurately, work under pressure, and provide excellent customer service.

Education

Lower Division Courses Completed

Work Experience

3 Months of Directly Relevant Experience

Physical Demands

Typical office work environment

Base Rate Per Hour:

16.50

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