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Statistical Analyst Remote Jobs in Houston, TX (NOW HIRING)

Fish & Richardson

Senior eDiscovery Analyst

Houston, TX · Remote

$87K - $111K/yr

This is a remote-first position, with a focus on candidates in GA, TX, MA, IL, DE, MN, NY, and DC ... statistics, responsiveness metrics, error logs). * Accurately maintain and support the eDiscovery ...

Compunnel

Data Scientist

Houston, TX · Remote

$60 - $65/hr

Location: Remote. Pay: 65/hr W2 only. Prefer someone from the Retail domain with customer ... A Data Scientist learns the job while performing hands-on analytics and modeling. * Adhere to our ...

Scanning Solutions

Data Quality Analyst

League City, TX · Remote

$28 - $39/hr

This is a remote position. Scanning Solutions is seeking a detail-oriented Data Quality Analyst to support the accuracy, consistency, completeness, and reliability of business data across company ...

Compunnel

Data Scientist

Houston, TX · Remote

$60 - $65/hr

Location: Remote. Pay: 65/hr W2 only. Prefer someone from the Retail domain with customer ... A Data Scientist learns the job while performing hands-on analytics and modeling. * Adhere to our ...

YO AI Labs

Physics Expert - Remote

Houston, TX · Remote

$80 - $160/hr

Scientific Analysis * Technical Evaluation * Research Communication * Critical Thinking Preferred ... Statistical Physics * Condensed Matter Physics * AMO / Quantum Optics * Gravitation * Cosmology

Ccfs

Risk Claims Manager

Houston, TX · Remote

$85K - $95K/yr

This position has the potential to be remote. ESSENTIAL JOB DUTIES * Personally investigate and ... Prepare statistical reports of claims activity and submit reports/findings as requested; lead claim ...

Dlapiper

Data Scientist

Houston, TX · On-site +1

... algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Huntington

Credit Review Team Leader Sr

Houston, TX · On-site +1

$125K - $255K/yr

Working knowledge of MS Access, Excel, Word and credit/statistical analysis tools * Conflict ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Credit Review Team Leader Sr

Houston, TX · On-site +1

$125K - $255K/yr

Working knowledge of MS Access, Excel, Word and credit/statistical analysis tools * Conflict ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Epiq

Senior Managing Attorney

Houston, TX · On-site +1

Remote, United States Business Unit:Legal Solutions Reports to:TBD Position Summary: The Senior ... This role is multifaceted and involves project management, substantive legal analysis, team ...

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Showing results 21-40

All JobsStatistical Analyst JobsStatistical Analyst Remote JobsStatistical Analyst Remote Jobs in Houston, TX

Statistical Analyst Remote information

See Houston, TX salary details

$28.6K

$67.3K

$112.2K

How much do statistical analyst remote jobs pay per year?

As of Sep 2, 2026, the average yearly pay for statistical analyst remote in Houston, TX is $67,278.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $77,400.00 per year, depending on experience, location, and employer.

What does a statistical analyst do when working remotely?

A Statistical Analyst working remotely uses statistical methods and software to collect, analyze, and interpret data from various sources. They often work with large datasets to identify trends, create reports, and support decision-making for organizations. Remote Statistical Analysts collaborate with teams through digital communication tools, ensuring that insights are effectively communicated even when not on-site. Their responsibilities may include designing experiments, validating data quality, and presenting findings to stakeholders.

What are the key skills and qualifications needed to thrive as a statistical analyst in a remote role?

To thrive as a Statistical Analyst in a remote role, you need a strong background in statistics, data analysis, and a relevant degree such as mathematics, statistics, or data science. Familiarity with statistical software like R, SAS, Python, and experience with data visualization tools and databases are highly valued, along with certifications such as SAS Certified Statistical Business Analyst. Strong problem-solving skills, attention to detail, and effective written and verbal communication are essential for collaborating virtually and presenting insights. These skills and qualities are crucial to accurately interpret data, provide actionable recommendations, and ensure seamless teamwork in a remote environment.

What are some typical challenges faced by remote statistical analysts, and how can they be addressed?

Remote statistical analysts often encounter challenges such as limited face-to-face collaboration, maintaining data security, and ensuring clear communication with cross-functional teams. To address these issues, it's important to leverage secure data-sharing platforms, establish regular check-ins with colleagues, and use collaboration tools to stay connected. Building strong relationships with team members and proactively clarifying project requirements can also help ensure smooth workflow and project success.

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

AspectStatistical Analyst RemoteData Analyst Remote
Required CredentialsBachelor's in Statistics, Mathematics, or related field; proficiency in statistical softwareBachelor's in Data Science, Analytics, or related; strong Excel and SQL skills
Work EnvironmentRemote, often collaborative with teams on data modeling and analysisRemote, focused on data collection, cleaning, and reporting
Employer & Industry UsageFinancial, healthcare, research institutionsMarketing, e-commerce, tech companies
Common Search & ComparisonYesYes

Both roles involve analyzing data, but Statistical Analysts focus more on advanced statistical modeling and hypothesis testing, often requiring specialized statistical software. Data Analysts typically handle data collection, cleaning, and reporting, with a broader focus on business insights. While both can be remote, their industry applications and skill sets differ slightly, making this comparison useful for job seekers evaluating similar remote roles.

What are the most commonly searched types of Statistical Analyst jobs in Houston, TX?

The most popular types of Statistical Analyst jobs in Houston, TX are:

What are popular job titles related to Statistical Analyst Remote jobs in Houston, TX?

For Statistical Analyst Remote jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Statistical Analyst Remote jobs in Houston, TX look for?

The top searched job categories for Statistical Analyst Remote jobs in Houston, TX are:

Statistical Analyst Remote jobs near you
Infographic showing various Statistical Analyst Remote job openings in Houston, TX as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, 2% Temporary, and 4% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution, with an average salary of $67,278 per year, or $32.3 per hour.

Data Scientist - Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

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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