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Data Visualization Jobs in Leander, TX (NOW HIRING)

AWS data engineer

Austin, TX · On-site

$113K - $136K/yr

Data Visualization: Strong skills in data visualization tools like Tableau and Power BI. (nice to have but, mostly outside of scope) Statistical Analysis: Ability to conduct statistical analysis ...

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

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

Partner with Business stakeholders with the goal of providing them with the ability to make decisions and gain insights through data visualization. Deep knowledge in Datwarehousing concepts and ...

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 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 ...

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

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Data Visualization information

See Leander, TX salary details

$51.6K

$104.6K

$154.3K

How much do data visualization jobs pay per year?

As of Jun 26, 2026, the average yearly pay for data visualization in Leander, TX is $104,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $117,500.00 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.

Can I learn data analyst in 3 months?

Becoming a data analyst in three months is possible with intensive study of core skills such as data manipulation, visualization, and tools like Excel, SQL, and Tableau. However, mastering the role typically requires ongoing learning and practical experience, especially for complex analysis tasks and industry-specific knowledge.

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 AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization tools are better positioned to adapt to these technological changes.

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, understanding of data, and the ability to communicate insights effectively, often with a background in statistics or computer science. The field offers growth opportunities as organizations increasingly rely on visual data to inform decisions.

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 roles involve creating visual representations of data using tools like Tableau, Power BI, or Python to help organizations interpret complex information and support decision-making.
What are the most commonly searched types of Data Visualization jobs in Leander, TX? The most popular types of Data Visualization jobs in Leander, TX are:
What are popular job titles related to Data Visualization jobs in Leander, TX? For Data Visualization jobs in Leander, TX, the most frequently searched job titles are:
What job categories do people searching Data Visualization jobs in Leander, TX look for? The top searched job categories for Data Visualization jobs in Leander, TX are:
What cities near Leander, TX are hiring for Data Visualization jobs? Cities near Leander, TX with the most Data Visualization job openings:
Infographic showing various Data Visualization job openings in Leander, TX as of June 2026, with employment types broken down into 11% As Needed, 58% Full Time, 14% Part Time, 8% Temporary, 3% Contract, and 6% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $104,581 per year, or $50.3 per hour.
Health Data Visualization Analyst

Health Data Visualization Analyst

Teacher Retirement System of Texas

Austin, TX • On-site

Other

Posted 10 days ago


Job description

The Health Data Visualization Analyst is responsible for performing data visualization, analysis and reporting work to ensure that TRS can effectively communicate complex information regarding its health care programs. The incumbent will analyze complex data sources, develop effective data visualizations and stories, and collaborate with a variety of professionals to ensure the accuracy and effectiveness of data related communications. This position will proactively work with the Health Data Analytics team, Health Division staff, and agency employees.

This onsite position in Austin, Texas will be filled at one of two levels - Health Data Visualization Analyst or Senior Health Data Visualization Analyst. The selected candidate will be offered the position level that most closely matches their education and experience.
Salary Range:
Health Data Visualization Analyst: 73,790-92,237
Senior Health Data Visualization Analyst: 89,286-115,050
Final interviews will be conducted in person at our Austin headquarters. 
WHAT YOU WILL DO:
Data Visualization and Reporting
Develops high-visibility presentations, reports, and briefings to executive leadership, the TRS Board of Trustees and legislative stakeholders, including narratives and talking-points to help explain and contextualize data and TRS programs.
Develops and creates models, scorecards, dashboards, and other quantitative analytical tools based on a thorough understanding of business and industry requirements. (Senior)
Coordinates with data analysts, actuaries, and communications staff to produce data needed to effectively convey insights.
Produces accessible, actionable, and timely data visualizations to promote effective decision and shared understanding among a large and varied set of audiences.
Helps design and implement data visualizations for internal plan management, including dashboards and reports related to changes in utilization and enrollment.
Coordinates and develops complex reporting for school districts in collaboration with other TRS staff.
Prepares, presents, and/or distributes routine and ad hoc reports.
Helps organize key assets, including charts, reports, and data summaries, to ensure accessibility for providing timely and consistent answers to requests.
Data Analysis
Develops queries to extract data to support decision-making.
Researches, recommends, and implements methodologies for reporting health care data and statistics including key performance indicators for program activities.
Identifies, collects, and analyzes data needed to develop reports, briefings, and presentations.
Participates in efforts to benchmark TRS program with comparators and peers including large employers, school districts, and state group health programs.
Helps identify data quality issues and participate in initiatives to improve data quality.
Assists with evaluating the Health Division's business needs related to reporting tools and assessing vendors proposals for data analysis services.
Policy Development and Stakeholder Engagement
Assists in the tracking of legislation and legislative requests and cost estimation for legislative fiscal notes.
Conducts research to help identify solutions to achieve program goals.
May assist with preparation professional papers or reports.
Reviews and analyzes various routine vendor reports on a monthly, quarterly, and annual basis.
Participates on special projects, task forces, and committees as needed.
Complex data modelling and dashboard development (Health Data Visualization Analyst)
Develops and maintains business data model in analysis server tabular models for use with PowerBI
Design and maintain data ingestion process to move data from data warehouse into tabular model
Create measures using DAX code in tabular model that integrate highly complex health care data, including risk scores, enrollment, claims data, and other data sources to build measures that reduce the time-to-insight across high volumes of data
Develop visualizations and analysis in PowerBI dashboards using business model and DAX measures to identify key trends and facilitate executive insight into health plans.


Performs related work as assigned.