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Remote Data Visualization Jobs in Texas (NOW HIRING)

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

Data visualization software (Tableau preferred) * Familiarity with AWS SageMaker * Strong programming skills in Python * Experience with SQL and NoSQL databases * Strong problem-solving ability

Hearst

Data Insights Specialist

Dallas, TX · On-site +1

Experience with Tableau, Power BI, or other data visualization software is required. * Strong analytical skills with the ability to organize, analyze, and present data in a meaningful and ...

HealthCorps

Monitoring & Evaluation Intern

Houston, TX · Remote

Ability to work independently in a remote environment and stay on top of assigned tasks. Preferred ... Familiarity with data visualization tools or basic reporting. * Strong writing skills with the ...

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113K - $136K/yr

Build visualization and monitoring components for data lineage, job health, and quality metrics ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

Publicis Groupe Holdings B.V

Media Analyst

Dallas, TX · Remote

This position is preferred to be based in Chicago, IL, but remote candidates are also welcome to ... Understanding of data visualization principles and experience building dashboards. * Strong ...

Cigna

Data Science Advisor - Hybrid

Austin, TX · On-site +1

Experience with data visualization tools such as Tableau. If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... on data visualization techniques Collaborate with Data Scientists, Data Engineers, and Data ...

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All JobsData Visualization JobsRemote Data Visualization JobsRemote Data Visualization Jobs in Texas

Remote Data Visualization information

See Texas salary details

$50.3K

$102K

$150.5K

How much do remote data visualization jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote data visualization in Texas is $101,970.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,800.00 and $114,600.00 per year, depending on experience, location, and employer.

What is remote data visualization?

Remote data visualization refers to the practice of creating interactive charts, graphs, and dashboards to represent data insights, while working outside of a traditional office environment. Professionals in this field use tools like Tableau, Power BI, or D3.js to help organizations make informed decisions by presenting complex data in an understandable visual format. Working remotely allows data visualization specialists to collaborate with teams across different locations using cloud-based platforms and virtual communication tools.

What are remote data visualization jobs?

A remote data visualization job allows you to work from home while assisting with the process of data visualization projects for a company. Your responsibilities may include reviewing analytics, creating engaging and interactive tools, portraying data in a visual way, developing presentations, interpreting data, and collaborating with other departments. You handle modeling, create charts and graphic depictions, gather datasets, produce reports, measure performance, and fulfill additional project duties as needed. You can find data visualization positions in various industries. Data visualization specialist, data visualization analyst, data visualization engineer, and data visualization director are some common job titles.

How do remote data visualization specialists typically collaborate with cross-functional teams to deliver insights?

Remote data visualization specialists often work closely with data analysts, engineers, and business stakeholders via virtual collaboration tools. Regular video meetings, shared dashboards, and real-time feedback channels help ensure that visualizations align with project goals and stakeholder needs. Clear communication and documentation are essential for managing expectations and iterating on designs. Building strong relationships with distributed teams and being proactive in seeking and providing feedback are key to delivering effective data-driven stories.

What are the key skills and qualifications needed to thrive as a remote data visualization specialist, and why are they important?

To thrive as a Remote Data Visualization Specialist, you need a strong background in data analysis, statistical concepts, and visual storytelling, often supported by a degree in computer science, statistics, or a related field. Expertise in tools such as Tableau, Power BI, or D3.js, as well as proficiency with programming languages like Python or R, is typically required. Excellent communication, creativity, and problem-solving skills help you convey complex data insights clearly and collaborate effectively with remote teams. These competencies are crucial for transforming raw data into actionable insights that drive informed business decisions in a virtual work environment.

What is the difference between Remote Data Visualization vs Remote Data Analyst?

AspectRemote Data VisualizationRemote Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; proficiency in visualization toolsDegree in Data Analysis, Statistics, or related; strong analytical skills
Work EnvironmentPrimarily focused on creating visual representations of data, often using tools like Tableau, Power BIAnalyzing datasets, generating reports, and providing insights, often using Excel, SQL, and statistical software
Industry UsageUsed across tech, finance, marketing, and consulting firms for presenting data insights visuallyCommon in finance, healthcare, retail, and marketing for data interpretation and decision-making

Remote Data Visualization specialists focus on designing visual data representations to communicate insights effectively, while Remote Data Analysts analyze data sets to generate actionable insights. Both roles require analytical skills, but their core tasks and tools differ, making them distinct yet complementary positions in data-driven organizations.

More about Remote Data Visualization jobs

What are the most commonly searched types of Data Visualization jobs in Texas?

The most popular types of Data Visualization jobs in Texas are:

What are popular job titles related to Remote Data Visualization jobs in Texas?

For Remote Data Visualization jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Data Visualization jobs in Texas look for?

The top searched job categories for Remote Data Visualization jobs in Texas are:

What cities in Texas are hiring for Remote Data Visualization jobs?

Cities in Texas with the most Remote Data Visualization job openings:

Remote Data Visualization jobs near you
Infographic showing various Remote Data Visualization job openings in Texas as of August 2026, with employment types broken down into 73% Full Time, 9% Part Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $101,970 per year, or $49 per hour.

Data Scientist - Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

Full-time

Re-posted 18 days ago

Job description

NAVA Software solutions is looking for a Data Scientist
Details:
Data Scientist
Location: Houston TX - Remote is ok
Duration: 12 months
Clients want a data scientist who can develop machine learning models to run forecast scenarios. Also, they want this person to be knowledgeable in AWS Cloud technology
A Data Scientist with physical pipeline experience typically specializes in analyzing and optimizing physical infrastructure pipelines, such as those used in the oil and gas industry or transportation networks. Here are some common job duties associated with this role:
  • Data collection and integration: Data scientists with physical pipeline experience gather data from various sources related to the infrastructure pipelines, such as sensors, SCADA (Supervisory Control and Data Acquisition) systems, or IoT devices. They integrate and consolidate the data for analysis and modeling.
  • Pipeline performance analysis: These professionals analyze the performance of physical pipelines by examining data related to flow rates, pressure levels, temperature, corrosion, and other relevant factors. They use statistical techniques and machine learning algorithms to identify patterns, anomalies, and potential issues that may affect pipeline operations.
  • Predictive modeling and maintenance optimization: Data scientists develop predictive models to forecast pipeline performance and detect potential failures or maintenance needs. They utilize historical data, sensor measurements, and other relevant parameters to train models that can predict future events, such as leaks, blockages, or equipment failures. By identifying critical maintenance requirements in advance, they can optimize maintenance schedules and minimize downtime.
  • Risk assessment and mitigation: Data scientists assess risks associated with physical pipelines, such as environmental hazards, security threats, or regulatory compliance. They develop risk assessment models and analyze the impact of different factors on pipeline safety and integrity. Based on these analyses, they propose mitigation strategies to minimize risks and ensure compliance with safety regulations.
  • Optimization of pipeline operations: Data scientists work on optimizing the operational efficiency of physical pipelines. They analyze data to identify areas of improvement, such as reducing energy consumption, optimizing transportation routes, or improving overall system performance. By applying data-driven approaches and algorithms, they provide recommendations to optimize pipeline operations and maximize efficiency.
  • Visualization and reporting: Data scientists with physical pipeline experience create visualizations, reports, and dashboards to communicate their findings and recommendations effectively. They present complex data in a visually understandable format, allowing stakeholders to make informed decisions regarding pipeline maintenance, operations, and risk management.
  • Collaboration with cross-functional teams: These professionals collaborate with engineers, domain experts, operations personnel, and other stakeholders involved in managing physical pipelines. They work together to understand the specific requirements, constraints, and challenges associated with the infrastructure. Effective communication and teamwork are essential to ensure alignment and successful implementation of data-driven solutions.
  • Continuous improvement and innovation: Data scientists keep up with the latest advancements in data science, machine learning, and pipeline technologies. They explore new methodologies, algorithms, and tools to enhance their skills and propose innovative solutions to address pipeline-related challenges.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media

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