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Data Visualization Jobs (NOW HIRING)

Peraton

Data Visualization Specialist

Herndon, VA

$104K - $166K/yr

Lead design and delivery of enterprise data visualization solutions (dashboards, analytic apps, executive reports) using Power BI, Tableau, or equivalent BI platforms. * Architect scalable ...

Samprasoft

Data Visualization Engineer

Houston, TX · Hybrid

Data Visualization Engineer Must be on site day one, hybrid schedule Job Purpose The Visualization and Design Engineer is responsible for presenting data in a graphical or pictorial format to help ...

Peraton

Data Visualization Specialist

Herndon, VA · On-site

$104K - $166K/yr

Lead design and delivery of enterprise data visualization solutions (dashboards, analytic apps, executive reports) using Power BI, Tableau, or equivalent BI platforms. * Architect scalable ...

Peraton

Data Visualization Specialist

Herndon, VA · On-site

$104K - $166K/yr

Lead design and delivery of enterprise data visualization solutions (dashboards, analytic apps, executive reports) using Power BI, Tableau, or equivalent BI platforms. * Architect scalable, high ...

Collabera

Data Visualization Developer

Eagan, MN

The Data Visualization Developer will create interactive graphics packages for legal data, build graphics tools, confer on visualization-related architecture options and alternatives, mentor/train ...

World Wide Technology Holding, LLC

Experience with data visualization tools: Power BI, Tableau, or Google Data Studio * Experience building and optimizing complex data visualization dashboards leveraging native tool development ...

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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 Jun 3, 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.

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.

More about Data Visualization jobs
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:
What job categories do people searching Data Visualization jobs look for? The top searched job categories for Data Visualization jobs are:
Data Visualization jobs near you
Infographic showing various Data Visualization job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 95% Full Time, 1% Part Time, and 3% Contract. Highlights an 69% Physical, 5% Hybrid, and 26% Remote job distribution, with an average salary of $109,451 per year, or $52.6 per hour.

Data Visualization Trainer

Technology Pvt. Ltd.

Manhattan, NY • Remote

Full-time

Posted 8 days ago

Job description

Job Description: We are seeking a talented and knowledgeable Data Visualization Trainer to deliver engaging and effective training sessions for individuals and groups. This role is ideal for both experienced professionals and fresh graduates who are passionate about teaching data visualization techniques, tools, and best practices. As a freelance Data Visualization Trainer, you will design, develop, and conduct courses that cover various aspects of data visualization.

Key Responsibilities: Course Development: Design and develop comprehensive training programs in data visualization, catering to various skill levels, including beginner, intermediate, and advanced learners. Topics include data visualization principles, tools and technologies, dashboard design, and storytelling with data. Content Creation: Create and update instructional materials such as presentations, coding exercises, datasets, and case studies that reflect current best practices and technologies in data visualization.

Training Delivery: Conduct live, interactive training sessions via online platforms, focusing on essential data visualization skills such as creating effective charts, graphs, dashboards, and interactive visualizations. Student Assessment: Assess student performance through quizzes, assignments, and practical projects. Provide constructive feedback to enhance their understanding and application of data visualization concepts.

Support and Mentorship: Offer personalized support to students, addressing their questions and assisting with troubleshooting issues related to data visualization tools, techniques, and design principles. Continuous Improvement: Stay updated with the latest trends and advancements in data visualization, including new tools, technologies, and methodologies, and incorporate these into the training curriculum. Qualifications: For Experienced Professionals: Experience: Minimum of 2-5 years of professional experience in data visualization, with hands-on experience in using data visualization tools such as Tableau, Power BI, or D3.js.

Teaching Experience: Previous experience in teaching or training, particularly in a freelance or remote capacity, is highly desirable. Technical Skills: Proficiency in data visualization tools and techniques, including advanced features and functionalities of tools like Tableau, Power BI, or similar platforms. Experience with data manipulation and preparation is also valuable.

Certifications: Relevant certifications in data visualization or related fields (e.g., Tableau Desktop Certified Professional, Microsoft Certified Data Analyst Associate) are preferred but not mandatory. Communication Skills: Strong communication skills with the ability to explain complex data visualization concepts and best practices in a clear and engaging manner. For Freshers: Education: A degree or certification in Data Visualization, Data Science, Computer Science, Statistics, or a related field.

Technical Skills: Basic knowledge of data visualization tools and techniques, gained through academic coursework, internships, or personal projects. Familiarity with tools like Tableau, Power BI, or similar platforms is a plus. Passion for Teaching: A strong interest in teaching and mentoring students in data visualization, with a commitment to developing effective training methods.

Communication Skills: Excellent verbal and written communication skills, capable of making complex data visualization topics understandable to diverse audiences. #J-18808-Ljbffr

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