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Data Visualization Jobs (NOW HIRING)

Westat is seeking a Data Visualization Analyst to join our Statistics and Data Science Center. The position involves the design, development, and delivery of interactive data visualizations and ...

Data Visualization Editor

New York, NY · Hybrid

$70K - $86K/yr

We're hiring a Data Visualization Editor to join our Content team at EMARKETER. The Role & Team: As Data Visualization Editor, you will be responsible for ensuring our charts and graphics are ...

Tableau Data Visualization Engineer

Mclean, VA · On-site +1

$115K - $160K/yr

We are looking for more than just a "Data Visualization Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.

Data Visualization Engineer

Morristown, NJ · On-site

$117K - $141K/yr

Data Visualization Engineer Location: Morristown, NJ (Hybrid -- 3 days/week onsite) Let's create our future together at The AES Group! About The AES Group The AES Group is a premier technology ...

We are seeking a Senior Data Visualization Specialist to lead the development of high-impact visual products, dashboards, and interactive reporting solutions that support Intelligence Community ...

Steampunk wants you to join our awesome team as Data Visualization Engineer . In this role you'll be working with a large team of Steampunk and clients to identify data sources, tools, and mission ...

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DATA Visualization information

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$54K

$109.5K

$161.5K

How much do data visualization jobs pay per year?

As of Jul 10, 2026, the average yearly pay for data visualization in the United States is $109,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $123,000.00 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.
What cities are hiring for Data Visualization jobs? Cities with the most Data Visualization job openings:
What are the most commonly searched types of Data Visualization jobs? The most popular types of Data Visualization jobs are:
What states have the most Data Visualization jobs? States with the most job openings for Data Visualization jobs include:
Infographic showing various Data Visualization job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $109,451 per year, or $52.6 per hour.

Data Visualization Developer - Fulltime/Permanent

Radiant Info Systems Ltd

San Ramon, CA • On-site

Full-time

Posted 2 days ago


Job description

Job Description

Our client is looking for an outstanding Data Visualization Developer for their first-of-its-kind Sales Analytics platform, which combines a proprietary, self-learning network with applications that are ready to use, data backed, and built on predictive analyses. 

In this role, you will design and build innovative, world-class data visualizations for extremely complex data sets, enabling business leaders to make intelligent decisions quickly and accurately. 

Our ideal candidate will have a strong command of D3.js, AngularJS, Nodes.js, HTML5, and CSS3. You must be a team player who will thrive in a fast-paced, collaborative startup, and you must take great pride in your work.

Qualifications

Requirements:

Bachelors/Masters in Computer Science with relevant industry experience

5+ years of hands-on application development experience-MUST HAVE!

Experience working with SPA (single page applications)

Experience building data-driven web applications and familiar with development frameworks (AngularJS)

Strong understanding of UX/UI concepts and interface usability, and a demonstrated record of good design flow in interactive applications

Experience with visualization design on mobile platforms is an advantage

Strong command of web front-end development (Javascript(OOP), HTML5, and CSS3)

Strong experience with data visualization libraries (D3.js), WebGL, and developing interactive graphics from conception to deployment

Knowledge of data processing, data analysis, data modeling, and data mining is a plus

Understanding of NoSQL databases and Hadoop

A combination of creativity and analytical ability

Experience handling complex data visualization for Big Data sets is highly desired

Programming ability in Java is an advantage

Additional Information

All your information will be kept confidential according to EEO guidelines.