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Data Visualization Jobs in Irving, TX (NOW HIRING)

Senior Data Analyst

Plano, TX ยท On-site +1

$80K - $101K/yr

Data Visualization and Reporting * Develop and maintain dashboards using claims and eligibility data that give internal teams the analytical insights they need to support client conversations. * Work ...

Energy Data and Reporting Analyst is responsible for collecting, analyzing, and presenting energy ... Reporting & Visualization: Create detailed reports, dashboards (e.g., Power BI, Databricks, other ...

Data Analyst

Dallas, TX ยท Remote

$23.50 - $30.50/hr

Reporting and Visualization: * Create comprehensive reports, dashboards, and visualizations that communicate findings to stakeholders in an accessible manner. * Present data insights and ...

The ideal candidate will have experience in data visualization, ETL processes, and cloud technologies to support business intelligence initiatives. Responsibilities : โ€ข Develop, design, and ...

Clinical Data Scientist

Irving, TX ยท On-site +1

$140K - $145K/yr

Data Visualization: Creating visual representations of data, such as graphs, charts, and dashboards, to communicate findings effectively. Tools like Matplotlib, Seaborn, and Tableau are commonly used.

Data Engineer Java background

Dallas, TX ยท On-site

$113K - $136K/yr

You excel in using stream and batch processing frameworks and data visualization tools, and are skilled in implementing data governance practices. Qualifications * Educational Requirement: Bachelor ...

Data Analysis Tutor

Mckinney, TX ยท 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 ...

Data Analysis Tutor

Fort Worth, TX ยท 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 ...

Data Analysis Tutor

Plano, TX ยท 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 ...

Data Analysis Tutor

Irving, TX ยท 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 ...

Data Analysis Tutor

Allen, TX ยท 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 ...

Data Analysis Tutor

Dallas, TX ยท 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 ...

Data Analysis Tutor

Arlington, TX ยท 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 ...

Data Analysis Tutor

Carrollton, TX ยท 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 ...

Showing results 41-60

Data Visualization information

See Irving, TX salary details

$50.1K

$101.6K

$149.9K

How much do data visualization jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data visualization in Irving, TX is $101,602.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $114,200.00 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 Irving, TX?

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

What are popular job titles related to Data Visualization jobs in Irving, TX?

For Data Visualization jobs in Irving, TX, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Data Visualization job openings in Irving, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $101,602 per year, or $48.8 per hour.

Senior Data Analyst

SmartLight Analytics

Plano, TX โ€ข On-site, Remote

$80K - $101K/yr

Full-time

Posted 5 days ago


Job description

In this role, you will develop analytical insights to identify payment anomalies in client's healthcare claims data. To be successful in the role, you will have sound knowledge and experience with healthcare analytics, data mining, and building dashboards to deliver insights, as well as demonstrating the ability to combine advanced analytics skills with exceptional business acumen. The Senior Data Analyst will collaborate with cross-functional teams to translate complex data findings into clear, concise, and actionable recommendations.
This position is only eligible for legal residents of the United States of America.
This position is a remote position.
Key Responsibilities:
Data Analysis and Interpretation
  • Develop a deep understanding of the organization's key initiatives and provide analytical solutions that deliver actionable recommendations to support their success.
  • Collect, clean, and analyze healthcare claims and eligibility data from multiple sources to identify trends, patterns, and insights.
  • Respond to ad-hoc analytical requests end-to-end - from scoping and pulling data to delivering clear, accurate outputs that stakeholders can act on.
  • Monitor data integrity by conducting regular audits and ensuring accuracy and completeness of datasets.

Data Visualization and Reporting
  • Develop and maintain dashboards using claims and eligibility data that give internal teams the analytical insights they need to support client conversations.
  • Work with business stakeholders to understand their goals, challenges, and opportunities, and translate their needs into analytical deliverables.
  • Prepare on-demand analyses and ad-hoc reports with clear, concise findings.
  • Present findings to stakeholders and translate insights into plain-language recommendations that non-technical audiences can understand and act on.

Process Automation and Reporting Efficiency
  • Identify opportunities to automate recurring data processes, streamline workflows, and improve reporting efficiency.
  • Work closely with internal teams to implement automation and reduce manual effort on recurring tasks.
  • Document analytical methodologies, data workflows, and processes to ensure transparency and consistency across the team.

Business Partner Collaboration
  • Communicate analytical findings and recommendations clearly and concisely to non-technical audiences in both written and oral formats.
  • Build strong working relationships with account managers, clinical teams, and operational partners by understanding their reporting needs and responding reliably.

Qualifications:
Education
  • Bachelor's degree in business, economics, finance, mathematics, or a related field; or 7+ years of directly relevant experience in healthcare claims analytics in lieu of a degree.

Experience
  • Minimum of 5 years of analytical work experience with healthcare claims data.
  • Demonstrated ability to analyze complex data and translate findings into clear, actionable recommendations in a business environment.

Technical Skills
  • SQL: 5+ years required; strong proficiency in data querying and analysis.
  • Working knowledge of healthcare claims and eligibility data structures, including ICD, CPT, DRG, and related coding conventions.
  • Familiarity with data visualization tools such as Tableau, Power BI, or QlikView.
  • Familiarity with Python for report automation or data manipulation is a plus.

Key Competencies:
  • Demonstrated ability to analyze complex healthcare claims data and synthesize findings into clear, actionable insights for both technical and non-technical audiences.
  • Strong attention to detail and commitment to data accuracy in a compliance-sensitive healthcare environment.
  • Proven ability to manage and prioritize multiple ad-hoc requests independently while maintaining quality and meeting stakeholder timelines.
  • Effective communicator - able to present complex data findings clearly and concisely in written reports, dashboards, and oral presentations.
  • Stays current on evolving tools, methods, and best practices in healthcare data analytics and applies new approaches where they add value.

This job description serves as a general overview of the role and is not exhaustive. This role may be required to perform additional responsibilities as needed to support the organization's goals and objectives.
Who is SmartLight Analytics:
SmartLight Analytics was formed by a group of industry insiders who wanted to make a meaningful impact on the rising cost of healthcare. With this end in mind, SmartLight works for self-funded employers to reduce the wasteful spend in their healthcare plan through our proprietary data analysis. Our process works behind the scenes to save money without interrupting employee benefits or requiring employee behavior changes.