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Data Visualization Jobs in Allen, TX (NOW HIRING)

Stay updated on the latest trends and technologies in data analysis, visualization, and workflow automation. * Qualifications: * Bachelor's degree in Forestry, Environmental Science, Data Science ...

Stay updated on the latest trends and technologies in data analysis, visualization, and workflow automation. * Qualifications: * Bachelor's degree in Forestry, Environmental Science, Data Science ...

Stay updated on the latest trends and technologies in data analysis, visualization, and workflow automation. Qualifications: * Bachelor's degree in Forestry, Environmental Science, Data Science ...

Stay updated on the latest trends and technologies in data analysis, visualization, and workflow automation. * Qualifications: * Bachelor's degree in Forestry, Environmental Science, Data Science ...

Utilizing a business intelligence visualization tool; and * Querying, analyzing, and working with data languages and platforms. Must pass company assessment. Eligible for Employee Referral Program ...

Utilizing a business intelligence visualization tool; and * Querying, analyzing, and working with data languages and platforms. • Must pass company assessment. • Eligible for Employee Referral ...

You'll lead the building of visualization systems and data-driven experiences that go beyond showing information. They help marketers make decisions that increase campaign effectiveness and value.

Data Modeler

Dallas, TX · On-site

$54.25 - $70.25/hr

Experience with data visualization tools (Power BI, Tableau). * Exposure to CI/CD pipelines for database deployments. * Experience with retail or enterprise-scale applications.

Showing results 41-60

Data Visualization information

See Allen, TX salary details

$50.2K

$101.8K

$150.2K

How much do data visualization jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data visualization in Allen, TX is $101,808.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,700.00 and $114,400.00 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.

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

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

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

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

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

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

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

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

Infographic showing various Data Visualization job openings in Allen, TX as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $101,808 per year, or $48.9 per hour.

Full-time

Re-posted 23 days ago


Job description

Job Title: Data Analyst

 

Who we are

Iapetus Infrastructure oversees a portfolio of specialized field services companies, operating under one IIS umbrella. At IIS, our strength lies in the connective tissue that ties our operating companies together and allows us to best serve our clients. We are a team of thinkers, problem solvers, and industry experts who collectively deliver the right solution for our clients.   

Who you are

You appreciate the client relationship and understand that delivering an excellent experience to the client is critical to success.  You enjoy problem solving and are able to think and react quickly; you have a keen eye for detail and are able to multi-task; and able to work collaboratively with multiple stakeholders.  You are self-motivated and able to work with little to no supervision; you practice good time management, and you consistently take the initiative to get things done; and take action on matters before being asked by others or forced by event. You are naturally curious, malleable in your approach, and don’t mind if every day looks a little different. You have appreciation for attention to detail, you’re a team player and work towards achieving common goals for the client. You’re honest and respectful in your communication style and when things go astray, you understand that it’s an opportunity to learn, take accountability and create a path forward.

Position Overview:
We are seeking a highly skilled and detail-oriented Data Analyst to support our consulting projects and operational functions. This role will focus on developing and managing work management solutions and creating insightful PowerBI dashboards. The successful candidate will analyze data sets, design efficient workflows, and deliver actionable insights to enhance decision-making processes across our organization. This is an in-office role

Key Responsibilities:

  • Analyze complex data sets to identify trends, patterns, and actionable insights to support consulting projects and operational objectives.
  • Design, build, and optimize workflows to streamline data collection, processing, and reporting processes.
  • Develop, manage, and maintain interactive dashboards in PowerBI to visualize key performance metrics and project outcomes.
  • Collaborate with cross-functional teams, including consultants, project managers, and field operations, to gather requirements and ensure data solutions align with business needs.
  • Ensure the accuracy, integrity, and security of data by implementing best practices in data management and quality assurance.
  • Provide technical expertise in work management solutions, integrating data from various sources to create seamless operational workflows.
  • Deliver reports and presentations to stakeholders, explaining complex data findings in a clear and concise manner.
  • Identify opportunities for process improvements and contribute to the continuous enhancement of data-driven operations.
  • Stay updated on the latest trends and technologies in data analysis, visualization, and workflow automation.
  •  

Qualifications:

  • Bachelor’s degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science, or a related field; Master’s degree preferred.
  • Minimum of 5 years of experience in data analysis, workflow optimization, and dashboard creation.
  • Proficiency in PowerBI for data visualization and reporting.
  • Strong skills in SQL for querying and managing data from relational databases.
  • Experience with workflow management tools and platforms (e.g., Fulcrum, FastField, or similar).
  • Excellent problem-solving and analytical skills, with the ability to translate complex data into actionable insights.
  • Strong communication and interpersonal skills, with the ability to work collaboratively with diverse teams.
  • Self-motivated and able to manage multiple projects and deadlines effectively.
  • Familiarity with utility or infrastructure-related data is a plus.

Preferred Skills:

  • Knowledge of programming languages such as Python or R for advanced data analysis.
  • Experience with GIS tools and spatial data analysis.
  • Understanding of data governance and compliance requirements.

What We Offer:

  • Competitive salary and benefits package.
  • Opportunity to work on impactful consulting projects with cross-industry exposure.
  • Collaborative and innovative work environment.
  • Professional development and growth opportunities.