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Data Visualization Analyst Jobs (NOW HIRING)

Samprasoft

Data Visualization Engineer

Houston, TX · Hybrid

Data Visualization Engineer Must be on site day one, hybrid schedule Job Purpose The Visualization ... Exp in Data Analysis and Business Intelligence with tools like Power BI in querying, Analyzing ...

World Wide Technology Holding, LLC

Qualifications: * 5+ years of relevant work experience in data analysis and visualization or related field * Experience with data visualization tools: Power BI, Tableau, or Google Data Studio

Collabera

Data Visualization Developer

Eagan, MN · On-site

Looking for a seasoned front-end web developer to work on an analytics project for elastic-driven data visualizations primarily using D3.js. The Data Visualization Developer will create interactive ...

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How much do data visualization analyst jobs pay per year?

As of Jun 4, 2026, the average yearly pay for data visualization analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a Data Visualization Analyst job?

A Data Visualization Analyst is responsible for transforming complex data sets into clear, engaging visual representations that help stakeholders make data-driven decisions. They use tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) to create charts, graphs, and dashboards. Their role combines data analysis, storytelling, and design principles to present insights effectively. They collaborate with data scientists, business analysts, and decision-makers to ensure data is accurately represented and actionable.

What are the key skills and qualifications needed to thrive in the Data Visualization Analyst position, and why are they important?

To thrive as a Data Visualization Analyst, you need strong analytical skills, experience in data interpretation, and a relevant degree in fields such as statistics, computer science, or information systems. Proficiency with visualization tools like Tableau, Power BI, or D3.js, as well as knowledge of SQL and Excel, is highly valued, and certifications in these platforms can enhance your qualifications. Excellent communication, attention to detail, and a collaborative mindset help you translate complex data into meaningful visual stories for stakeholders. These abilities are essential to ensure data-driven decisions are clearly understood and actionable across various departments.

What are the typical daily responsibilities of a Data Visualization Analyst?

As a Data Visualization Analyst, your day typically involves collecting, cleaning, and organizing data from various sources, followed by designing and creating dashboards or reports that convey insights to both technical and non-technical stakeholders. You’ll collaborate closely with data engineers, business analysts, and department leaders to understand their needs and tailor visualizations accordingly. Regularly, you will review and update dashboards to ensure data accuracy and relevancy, and may also provide training or support to colleagues on interpreting and using visual tools. This role offers a dynamic work environment where problem-solving and creativity are key to turning complex datasets into clear, actionable information.
More about Data Visualization Analyst jobs
What cities are hiring for Data Visualization Analyst jobs? Cities with the most Data Visualization Analyst job openings:
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Data Visualization Analyst jobs near you
Infographic showing various Data Visualization Analyst job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 69% Physical, 5% Hybrid, and 26% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Visualization Engineer

Data Visualization Engineer

Samprasoft

Houston, TX • Hybrid

Other

Posted 3 days ago

Job description

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 people understand its significance and to identify or uncover patterns, correlations and trends etc. that are likely to go unnoticed in text-based data. Understands the business strategy and business context to co-define with the business the key performance indicators.

Job Description

The role is about design and being passionate for creating meaningful data visualizations and memorable user experiences. It is important to think strategically and communicate data-driven insights by transforming science and numbers into easily understandable visualization. The role will involve working closely with our key stakeholders in both business and IT to help tell stories with data and visualize insights in a compelling and insightful way that enables business decision-making.

While the main focus of the role is data visualization, a solid understanding of core graphic design principles including visual hierarchy, colour theory, layouts & grids and typography is an advantage.

Technical Skills

  • Expert knowledge of and experience with design & prototyping tools
  • Expert knowledge in Data visualization tools like SAC, PowerBI including Labels, Charts, Schemas, understanding of Heat Map, Dendograms.
  • Is familiar with user-centered design and testing methodologies, subsystems, and usability and accessibility concerns.
  • Tools: Power Bi, Databricks, ADF, Azure DB, SQL Server, AAS, Excel.
  • Exp in Data Analysis and Business Intelligence with tools like Power BI in querying, Analyzing, designing, development and reporting environment
  • Good experience in SQL Queries, Views, Stored Procedures.
  • Rich experience in creating dashboards and providing access to different type of users
  • Very good experience in different connections methods and their pros/cons
  • Developing dashboards for measures with forecast, trend line and reference lines.
  • Creating different visualizations using Slicers, Lines, Pies, Histograms, Maps, Scatter, Bullets, Heat Maps, Tree maps, etc.
  • Power BI cloud, workspaces, gateways, premium capacity, publishing, scheduling, User Access Management.
  • Very good in understanding Data, Data Modeling and Data Warehousing.
  • Very good experience in handling high volume of data for Power BI reports and performance tunings and optimizing the reports.
  • DAX programming & expressions like filters, Aggregate, Mathematical Functions etc.
  • Experience in Power platform (Power Apps) is added advantage
  • Good interpersonal and communications skills
  • Can understand domain/functionality and requirements
  • Experience in working with AGILE, KANBAN methodologies

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