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Remote Tableau Jobs in Spring, TX (NOW HIRING)

Pae

Business Intelligence Analyst (Remote)

Houston, TX · On-site +1

This is a temporary, remote opportunity not to exceed 26 weeks.** As a Business Intelligence Analyst , you will: * Utilize your business acumen and technical expertise to develop and deliver cutting ...

Shell

Business Analyst - Endur

Houston, TX · On-site +1

$124K - $186K/yr

Benefit from flexible working hours, and the possibility of remote/mobile working * Perform at your best with a competitive starting salary and annual performance related salary increase - our pay ...

Arva Intelligence

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is responsible for building and scaling the data and computational backbone that supports Arva's ecosystem ...

Arva Intelligence

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is responsible for building and scaling the data and computational backbone that supports Arva's ecosystem ...

Arva Intelligence

Modeling Scientist

Houston, TX · On-site +1

$100K - $160K/yr

Remote Base Salary Range : $100k - $160k base salary The Modeling Scientist is responsible for improving model traceability, uncertainty quantification, and predictive trustworthiness in Arva ...

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Remote Tableau information

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$69

How much do remote tableau jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for remote tableau in Spring, TX is $50.05, according to ZipRecruiter salary data. Most workers in this role earn between $41.30 and $59.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Tableau position, and why are they important?

To excel as a Remote Tableau specialist, you need strong analytical abilities, proficiency with Tableau software, and experience in data visualization and interpretation, often supported by a background in statistics or computer science. Familiarity with SQL, data modeling tools, and Tableau certifications (such as Tableau Desktop Specialist) are highly advantageous. Excellent communication, problem-solving, and self-motivation are crucial soft skills due to the autonomous and collaborative nature of remote work. These competencies are essential for delivering meaningful insights from complex datasets and for effectively collaborating with distributed teams.

What are typical responsibilities for a Remote Tableau specialist and how do they collaborate with other team members?

As a Remote Tableau specialist, your main responsibilities include designing interactive dashboards, analyzing data to generate actionable insights, and maintaining data accuracy within Tableau. You’ll often work closely with business analysts, data engineers, and stakeholders through virtual meetings and collaborative platforms to understand data requirements and present findings. Effective communication is vital, as you translate complex technical data into easy-to-understand visualizations for non-technical team members. Additionally, you may be involved in data cleaning and troubleshooting technical issues, contributing to data-driven decision-making across the organization. This collaborative, cross-functional approach ensures your work aligns with broader business goals.

What is a Remote Tableau job?

A Remote Tableau job involves using Tableau, a data visualization and business intelligence tool, to analyze and present data while working from a remote location. Professionals in this role create dashboards, generate reports, and provide insights to help businesses make data-driven decisions. Common job titles include Tableau Developer, Data Analyst, or BI Consultant. Strong skills in SQL, data visualization, and problem-solving are often required. This role allows flexibility in work location while collaborating with teams through virtual communication tools.

What are popular job titles related to Remote Tableau jobs in Spring, TX? For Remote Tableau jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Remote Tableau jobs in Spring, TX look for? The top searched job categories for Remote Tableau jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Tableau jobs? Cities near Spring, TX with the most Remote Tableau job openings:
Remote Tableau jobs near you
Infographic showing various Remote Tableau job openings in Spring, TX as of June 2026, with employment types broken down into 33% Full Time, 49% Part Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $104,099 per year, or $50 per hour.
Data Scientist - Remote

Data Scientist - Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

Full-time

Posted 20 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

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