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Data Visualization Jobs in Miami, FL (NOW HIRING)

Prescient Edge

Data Scientist

Doral, FL · On-site

Knowledge of data visualization, feature selection, and geospatial analytics is required. Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working ...

YO AI Labs

Analytics Expert - Remote

Miami, FL · Remote

$30 - $80/hr

MySQL * Data Visualization * Dashboard Development * Reporting * KPI Analysis * ChatGPT Work * Codex * Claude Cowork * AI Agents * Workplace Connectors Preferred Qualifications * Professional ...

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) * SQL along with Python, R required Data & Engineering Collaboration * Experience working in cross-functional ...

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) * SQL along with Python, R required Data & Engineering Collaboration * Experience working in cross-functional ...

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) * SQL along with Python, R required Data & Engineering Collaboration * Experience working in cross-functional ...

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) * SQL along with Python, R required Data & Engineering Collaboration * Experience working in cross-functional ...

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) * SQL along with Python, R required Data & Engineering Collaboration * Experience working in cross-functional ...

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) * SQL along with Python, R required Data & Engineering Collaboration * Experience working in cross-functional ...

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) * SQL along with Python, R required Data & Engineering Collaboration * Experience working in cross-functional ...

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) * SQL along with Python, R required Data & Engineering Collaboration * Experience working in cross-functional ...

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) * SQL along with Python, R required Data & Engineering Collaboration * Experience working in cross-functional ...

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) * SQL along with Python, R required Data & Engineering Collaboration * Experience working in cross-functional ...

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) * SQL along with Python, R required Data & Engineering Collaboration * Experience working in cross-functional ...

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Showing results 41-60

All JobsData Visualization JobsData Visualization Jobs in Miami, FL

Data Visualization information

See Miami, FL salary details

$47.3K

$95.9K

$141.5K

How much do data visualization jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data visualization in Miami, FL is $95,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $107,700.00 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.

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.

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 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 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.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries, especially with skills in tools like Tableau, Power BI, or D3.js. Salaries vary based on experience, location, and industry, but the role is generally well-compensated compared to other entry-level tech positions.

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 jobs use data visualization?

Data visualization is used in a variety of roles such as data analyst, business intelligence analyst, data scientist, and dashboard developer. These jobs require skills in tools like Tableau, Power BI, or Excel to interpret and communicate data insights effectively.

What skills are needed for data visualization jobs?

Data visualization jobs require skills in data analysis, proficiency with visualization tools like Tableau, Power BI, or D3.js, and a strong understanding of design principles to create clear, effective visuals. Knowledge of programming languages such as Python or R and the ability to interpret complex data sets are also important. Additionally, good communication skills help in presenting insights effectively to stakeholders.
More about Data Visualization jobs

What are the most commonly searched types of Data Visualization jobs in Miami, FL?

The most popular types of Data Visualization jobs in Miami, FL are:

What are popular job titles related to Data Visualization jobs in Miami, FL?

For Data Visualization jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Data Visualization jobs in Miami, FL look for?

The top searched job categories for Data Visualization jobs in Miami, FL are:

What cities near Miami, FL are hiring for Data Visualization jobs?

Cities near Miami, FL with the most Data Visualization job openings:

Data Visualization jobs near you
Infographic showing various Data Visualization job openings in Miami, FL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $95,877 per year, or $46.1 per hour.

Data Scientist (Research & Evaluation)

AJAIA

Fort Lauderdale, FL • On-site

Full-time

Re-posted 2 days ago

Job description

Role Overview

LaunchEd is an innovation platform that helps education companies prove the real-world impact of their products through independent research and evidence-based validation. We partner with promising edtech companies, evaluate their effectiveness, and use those insights to support investment, growth, and go-to-market decisions.

As the Data Scientist (Research & Evaluation), you'll build and deliver the research behind those decisions. You'll design studies, analyze quantitative data, measure product efficacy and return on investment (ROI), and produce clear, defensible findings that help determine whether products are creating meaningful outcomes for schools, educators, and students.

This role is ideal for someone who enjoys statistical analysis, research design, and using data to answer important business and educational questions.

Key Responsibilities

Efficacy & ROI Evaluation

• Baseline statistical benchmarks at intake and track them throughout program participation, from

intake to graduation.

• Design and run studies measuring product impact on student and operational outcomes.

• Quantify return on investment for companies and products across the LaunchEd portfolio.

• Produce independent, evidence-based evaluations that hold up to outside scrutiny.

• Produce efficacy and ROI reports on LaunchEd clients that are benchmarked against comparable

external data.

• Collaborate with higher-education and university partners to pursue university-sanctioned

research.

The LaunchEd Validation Score

• Develop and maintain the LaunchEd Validation Score as a core piece of platform IP.

• Establish a consistent, defensible methodology that can serve as a credible market standard for

edtech validation.

• Translate study findings into the standardized LaunchEd Validation Report.

In-House Study Capacity

• Deliver multiple efficacy and ROI studies per year as a repeatable in-house capability.

• Reduce reliance on external efficacy and validation vendors.

Cross-Department Support

• Provide research and analysis support across LaunchEd teams, including network grading and

accreditation.

• Partner with the deal team to feed validated outcomes into Gate 2 reviews and Investment

Committee decisions.

Requirements

• Strong quantitative and statistical analysis skills, with the ability to design and run studies

independently.

• Experience measuring efficacy, outcomes, or return on investment, ideally in education or a

related field.

• Ability to build clear, defensible methodologies and translate data into decision-ready findings.

• Familiarity with education data, student outcomes, and relevant compliance considerations such

as FERPA and COPPA is a plus.

• Proficiency with data analysis tools such as Excel, SQL, and Python or R, and clear data

visualization.

• Detail orientation, independence, and discretion handling confidential company and student data.

• Alignment with LaunchEd’s mission and the Strong Minds, Good Hearts ethos.

Benefits

  • Competitive base salary + performance incentives
  • Professional development opportunities