1

Data Visualization Jobs in Austin, TX (NOW HIRING)

Organize and present information using data visualization techniques * Develop and suggest solutions and strategies to business challenges * Work together with engineering and product development ...

Data Analyst

Austin, TX · On-site

$35 - $45/hr

Data Visualization * Ad-Hoc Analysis * Recurring/Standing Analysis * Analytical Methodologies * Business Requirements * Stakeholder Communication * Problem Solving Technical Skills: * SQL * Database ...

... visualization tools such as Power BI and/or Tableau. 5 Preferred Experience with Business Intelligence/Data Warehouse 5 Preferred Experience working in a health and human services or similarly ...

Experience handling terabyte size datasets, diving into data to discover hidden patterns and using data visualization tools. Experience writing code in Python, R, Scala, and distributed computing ...

Advanced data visualization skills for management-level reporting. Master's Degree in Information Systems or related field. Education:Employment Type: CONTRACTOR

Data Scientist

Austin, TX · On-site

$128K/yr

... Data visualization software; and 9. PyTorch and Sklearn. Salary: $128750 per year. More information about NXP in the United States... NXP is an Equal Opportunity/Affirmative Action Employer ...

Data Scientist

Austin, TX · On-site

$128K/yr

... Data visualization software; and 9. PyTorch and Sklearn. Salary: $128750 per year. More information about NXP in the United States... NXP is an Equal Opportunity/Affirmative Action Employer ...

Data Science Engineer

Austin, TX · On-site

$113K - $136K/yr

... data visualization, prototyping, and writing production code Qualifications : Required : • BS/MS in Computer Science, Statistics, Mathematics, or equivalent • Mastery of machine learning ...

Data Analyst V

Austin, TX · On-site

$71.17 - $95.77/hr

RSDA provides analysis, data visualization, and reporting to support Health and Human Services Commission (HHSC) agencies in its stakeholders' operational and decision-making needs. Under the ...

Showing results 21-40

Data Visualization information

See Austin, TX salary details

$53.5K

$108.5K

$160K

How much do data visualization jobs pay per year?

As of Aug 26, 2026, the average yearly pay for data visualization in Austin, TX is $108,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $121,900.00 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.

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.

What are the most commonly searched types of Data Visualization jobs in Austin, TX?

The most popular types of Data Visualization jobs in Austin, TX are:

What job categories do people searching Data Visualization jobs in Austin, TX look for?

The top searched job categories for Data Visualization jobs in Austin, TX are:

What cities near Austin, TX are hiring for Data Visualization jobs?

Cities near Austin, TX with the most Data Visualization job openings:

Infographic showing various Data Visualization job openings in Austin, TX as of August 2026, with employment types broken down into 72% Full Time, 3% Part Time, and 25% Contract. Highlights an 82% In-person, 3% Hybrid, and 15% Remote job distribution, with an average salary of $108,462 per year, or $52.1 per hour.

Data Scientist (Remote)

Austin, TX • Remote

Full-time

Re-posted 10 days ago


Job description

About the Data Scientist position

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions.

We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required.

Data Scientist responsibilities are:
  • Research and detect valuable data sources and automate collection processes

  • Perform preprocessing of structured and unstructured data

  • Design, implement and deliver maintainable and high-quality code using best practices (e.g. Git/Github, Secrets, Configurations, Yaml/JSON)

  • Review large amounts of information to discover trends and patterns

  • Create predictive models and machine-learning algorithms

  • Modify and combine different models through ensemble modeling

  • Organize and present information using data visualization techniques

  • Develop and suggest solutions and strategies to business challenges

  • Work together with engineering and product development teams

Data Scientist requirements are:
  • 3+ years' experience of working on Data Scientist or Data Analyst position

  • Significant experience in data mining, machine-learning and operations research

  • Experience with data modeling, design patterns, building highly scalable and secured solutions preferred

  • Prior experience installing data architectures on Cloud providers (e.g. AWS,GCP,Azure), using DevOps tools and automating data pipelines

  • Good experience using business intelligence/visualization tools (such as Tableau), data frameworks (such as Hadoop, DataFrames, RDDs, Dataclasses) and data formats (CSV, JSON, Parquet, Avro, ORC)

  • Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset

  • MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred
  • Must be a U.S. Citizen