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Data Visualization Jobs in Austin, TX (NOW HIRING)

Staffingine LLC

Full Stack Developer

Austin, TX · On-site

Architect and develop custom data visualization tools and applications * Design develop and lead the maintenance of interactive data visualization dashboards using React Typescript and Tailwind CSS

Incedo

Data Analyst

Austin, TX · On-site

... visualization and reporting tools such as Tableau, Power BI, or Looker. • Understanding of data exploration and discovery techniques such as clustering, anomaly detection, or text analytics. • ...

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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 Jul 18, 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.

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.
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

R&D Data Scientist: Mathematical Modeling and Optimization

Liftlab Analytics, Inc.

Austin, TX • On-site, Remote

Full-time

Re-posted 27 days ago

Job description

(Fully-remote US position)
About LiftLab
Liftlab is the leading provider of science-driven software to optimize marketing spend and predict revenue for optimal spend levels. We call this the Science of Marketing Effectiveness. Our platform combines economic modeling with specialized media experimentation so brands and agencies can clearly see the tradeoffs of growth and profitability. With decades of experience in marketing analytics and data science, our team of industry experts and thought leaders is proud to enable leading and emerging brands such as Cinemark, Express, Hanna Anderson, Lulu & Georgia, Pandora, Sephora, Skims, Tory Burch, Thrive, and Vionic, with our cutting-edge solutions and strategic guidance.
Job responsibilities
  • Develop new algorithm-based features of LiftLab's marketing measurement and optimization platform
  • Performs diagnostics and root-cause analysis and provide fixes
  • Works with Data Science and Engineering to implement these features into LiftLabs product and workflow
Course work/experience:
  • Data manipulation
    • SQL
    • Operating on big datasets in Python
    • Data visualization
  • Mathematical optimization
    • Linear optimization concepts
    • Nonlinear continuous optimization
    • Linear algebra
  • Mathematical modeling
    • Using parametrized systems of equations to represent real-world systems
  • Statistics
    • Multivariate regression
    • Clear understanding of Maximum Likelihood estimation and computational methods to find MLE parameters
    • Bayesian concepts
    • Hypotheses testing
Education requirements
Graduate degree in Applied Mathematics, Scientific Computing, Operations Research or related field. We will consider holders of Bachelor degrees with relevant experience
Skills/Aptitude
  • Engineering and detective mindset
    • Both to diagnose data and existing algorithms and to develop new analytics functionality
  • Pragmatic approach to real-world problems
  • Focus on problem solving over applying specific models
  • Willingness to make approximations and assumptions rather than find "the" optimal solution
  • Ability to combine multiple techniques and models to solve end-to end-problems
  • Communication and collaboration skill
  • Ability to convert non-technical requests into project specifications

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