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Data Visualization Jobs in Austin, TX (NOW HIRING)

Jobcertify

Data Analyst

Austin, TX · On-site

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 ...

FreedomPay

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 ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · On-site

Strong skills in scientific data analyses, modeling, visualization and communication of results. * Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

Strong skills in scientific data analyses, modeling, visualization and communication of results. * Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB ...

Varsity Tutors

Data Analysis Tutor

Round Rock, TX · Remote

$18 - $40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data sets. Guides students through importing and cleaning data, calculating summary statistics, creating ...

Varsity Tutors

Data Analysis Tutor

Austin, TX · Remote

$18 - $40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data sets. Guides students through importing and cleaning data, calculating summary statistics, creating ...

Varsity Tutors

Data Analysis Tutor

San Marcos, TX · Remote

$18 - $40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data sets. Guides students through importing and cleaning data, calculating summary statistics, creating ...

Suncap Technology

Required Skills

Austin, TX · On-site

Solid understanding of data management concepts - data processing, analytics, machine learning and visualization. * Experience with Data Manipulation using Python/Pyspark * Experience with Jupyter ...

DaBella

Data Analyst

Austin, TX · On-site

$75K/yr

Proven experience with Tableau, Power BI, or similar BI/data visualization tools * Proficiency in Microsoft Excel and familiarity with other data analysis tools * Working knowledge of SQL and data ...

Nastech Global

Visualization Engineer

Austin, TX · On-site

Data Analysis & Visualization Engineer Location: Austin, TX & Cupertino, CA (onsite) Job type: Full time -Focus on tableau, A/B testing, sentiment analysis, working exp with UX/UI research team /user ...

Dabella

Data Analyst

Austin, TX

$75K/yr

Proven experience with Tableau, Power BI, or similar BI/data visualization tools * Proficiency in Microsoft Excel and familiarity with other data analysis tools * Working knowledge of SQL and data ...

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Showing results 21-40

All JobsData Visualization JobsData Visualization Jobs in Austin, TX

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 7, 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 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 increasing demand across 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.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries, especially with experience and proficiency in tools like Tableau, Power BI, or D3.js. Salaries vary by industry, location, and skill level but generally align with other data analysis roles, with higher pay for those who combine visualization skills with data analysis or programming expertise.

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 explaining insights to non-technical stakeholders.
More about Data Visualization jobs
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 are popular job titles related to Data Visualization jobs in Austin, TX? For Data Visualization jobs in Austin, TX, the most frequently searched job titles 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:
Data Visualization jobs near you
Infographic showing various Data Visualization job openings in Austin, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $108,462 per year, or $52.1 per hour.

Data Analyst

Jobcertify

Austin, TX • On-site

Full-time

Posted 20 days ago

Job description

We are looking for the right people people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the worlds largest providers of products and services to the global energy industry.

Job Description & Responsibilities:
Data Scientist under general supervision will perform data engineering, data modeling and model deployment.
Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights
Leverage common open-source Machine Learning/Deep Learning packages for identifying data patterns and/or building predictive models
Conduct statistical analysis to determine trends and significant data relationships
Keep up to date with latest Machine Learning and Artificial Intelligence advancements
Work with data engineers to design and construct data pipelines for reproducible analysis
Leverage cloud computing technologies like Microsoft Azure and distributed computing technologies like Apache Spark
Present results of analyses, including design of graphs, charts, tables, and other data visualizations

Qualifications:
Industry experience in predictive modeling, data science and analysis.
Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn and cloud computing platforms like Azure.
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 technologies like Spark.
Demonstrated teamwork, strong communication skills, and collaborative in complex engineering projects.
Completion of an undergraduate degree in STEM. Master's degree in STEM is preferred.

Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs.

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