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Remote Civil Engineering Data Analyst Jobs in Texas

Data Analyst

Dallas, TX · Remote

$23.50 - $30.50/hr

We are a leading firm that specializes in civil engineering, structural engineering, architectural ... This is a remote role strictly for candidates within the United States. Position Overview: As a ...

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Work closely with engineering teams, project managers, and other departments to understand their ... Flexible work schedule and remote work options Job Type: * Full time Pay: * $21.00 - $26.00 per ...

HR Data Analyst

El Paso, TX · Remote

$60.50 - $65.50/hr

ORIONYX ENGINEERING LTD. is a leading company focused on civil engineering, structural engineering ... This is a remote role strictly for candidates within the United States. We are looking for an ...

Science, Technology, Engineering, Mathematics and/or other quantitative analytical degree a plus ... Data science experience * Retail experience * SQL Coding, Microsoft Access, Macro building ...

Civil Engineer

Houston, TX · On-site +1

$60 - $90/hr

Experience with AutoCAD Civil 3D and other civil engineering design software is preferred. Schedule: Onsite, hybrid, or remote available. Candidates working remotely will remain on contract and will ...

Civil Engineering Tutor

Irving, TX · Remote

$18 - $40/hr

Adapts instruction using structural analysis software, geotechnical data interpretation, and design project guidance to support undergraduate civil engineering students from introductory courses ...

Adapts instruction using structural analysis software, geotechnical data interpretation, and design project guidance to support undergraduate civil engineering students from introductory courses ...

Adapts instruction using structural analysis software, geotechnical data interpretation, and design project guidance to support undergraduate civil engineering students from introductory courses ...

Adapts instruction using structural analysis software, geotechnical data interpretation, and design project guidance to support undergraduate civil engineering students from introductory courses ...

Adapts instruction using structural analysis software, geotechnical data interpretation, and design project guidance to support undergraduate civil engineering students from introductory courses ...

Adapts instruction using structural analysis software, geotechnical data interpretation, and design project guidance to support undergraduate civil engineering students from introductory courses ...

Adapts instruction using structural analysis software, geotechnical data interpretation, and design project guidance to support undergraduate civil engineering students from introductory courses ...

Adapts instruction using structural analysis software, geotechnical data interpretation, and design project guidance to support undergraduate civil engineering students from introductory courses ...

Adapts instruction using structural analysis software, geotechnical data interpretation, and design project guidance to support undergraduate civil engineering students from introductory courses ...

Adapts instruction using structural analysis software, geotechnical data interpretation, and design project guidance to support undergraduate civil engineering students from introductory courses ...

Adapts instruction using structural analysis software, geotechnical data interpretation, and design project guidance to support undergraduate civil engineering students from introductory courses ...

Adapts instruction using structural analysis software, geotechnical data interpretation, and design project guidance to support undergraduate civil engineering students from introductory courses ...

Adapts instruction using structural analysis software, geotechnical data interpretation, and design project guidance to support undergraduate civil engineering students from introductory courses ...

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Remote Civil Engineering Data Analyst information

How does a remote civil engineering data analyst collaborate effectively with on-site engineering teams?

As a Remote Civil Engineering Data Analyst, you’ll frequently interact with on-site engineers and project managers through digital collaboration tools. Effective communication is key—regular video meetings, shared project management platforms, and clear documentation help bridge the distance. You may also be responsible for translating complex data insights into actionable recommendations for field teams. Building strong virtual relationships and staying proactive in your communication ensures that your analyses directly support project goals and that any data-driven changes are smoothly implemented on-site.

What are the key skills and qualifications needed to thrive as a remote civil engineering data analyst?

To thrive as a Remote Civil Engineering Data Analyst, you need a solid background in civil engineering principles, data analysis, and a relevant degree such as a BS in Civil Engineering or Data Science. Familiarity with technical tools like AutoCAD, GIS software, SQL databases, and data visualization platforms is typically required. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills in this role. These competencies enable accurate analysis and interpretation of engineering data, supporting sound decision-making for remote project teams.

What is the difference between Remote Civil Engineering Data Analyst vs Remote Civil Engineering Technician?

AspectRemote Civil Engineering Data AnalystRemote Civil Engineering Technician
Required CredentialsBachelor's in Civil Engineering, Data Analysis or related field; proficiency in data toolsAssociate's or Bachelor's in Civil Engineering or related field; technical skills in surveying and construction
Work EnvironmentPrimarily remote, analyzing data, creating reports, supporting project decisionsRemote or on-site, assisting with surveys, inspections, and technical tasks
Employer & Industry UsageEngineering firms, consulting agencies, government agenciesConstruction companies, engineering firms, public works departments

The main difference is that Remote Civil Engineering Data Analysts focus on analyzing civil engineering data remotely to support projects, while Remote Civil Engineering Technicians handle technical field tasks and inspections, often requiring more hands-on work. Both roles may be remote but serve different functions within civil engineering projects.

What does a remote civil engineering data analyst do?

A Remote Civil Engineering Data Analyst is responsible for collecting, processing, and interpreting data related to civil engineering projects from a remote location. They work with data sets involving construction, infrastructure, transportation, and environmental systems to help engineers make data-driven decisions. Their tasks often include data visualization, statistical analysis, and reporting findings to project teams. By working remotely, they leverage digital tools and cloud-based platforms to collaborate and deliver insights efficiently.
What are the most commonly searched types of Civil Engineering Data Analyst jobs in Texas? The most popular types of Civil Engineering Data Analyst jobs in Texas are:
What cities in Texas are hiring for Remote Civil Engineering Data Analyst jobs? Cities in Texas with the most Remote Civil Engineering Data Analyst job openings:
Infographic showing various Remote Civil Engineering Data Analyst job openings in Texas as of July 2026, with employment types broken down into 68% Full Time, 7% Part Time, and 25% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution.

$23.50 - $30.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

About Us: With a team of experienced experts and a dedication to excellence, Orionyx Engineering Ltd. offers comprehensive services that guarantee the highest quality standards in every project. We are a leading firm that specializes in civil engineering, structural engineering, architectural services, surveying, and forensic analysis. Our mission is to deliver precise and innovative engineering solutions that improve infrastructure and support sustainable development.
This is a remote role strictly for candidates within the United States. 

Position Overview: As a Data Analyst at Orionyx Engineering Ltd., you will play a pivotal role in transforming data into actionable insights that drive strategic decision-making across various engineering projects. You will collaborate with engineering teams, project managers, and stakeholders to analyze data trends, develop reports, and contribute to data-driven strategies that enhance operational efficiency and project outcomes.

Key Responsibilities:

  1. Data Collection and Management:
    • Gather and organize large sets of structured and unstructured data from various sources, including databases, spreadsheets, and project management tools.
    • Ensure data integrity and accuracy by implementing validation checks and cleansing processes.
  2. Data Analysis:
    • Utilize statistical methods and analytical techniques to interpret complex data sets related to engineering projects, performance metrics, and operational efficiency.
    • Identify trends, patterns, and anomalies in data to inform project planning and execution.
  3. Reporting and Visualization:
    • Create comprehensive reports, dashboards, and visualizations that communicate findings to stakeholders in an accessible manner.
    • Present data insights and recommendations to engineering teams, project managers, and executive leadership.
  4. Collaboration and Communication:
    • Work closely with engineering teams to understand their data needs and provide analytical support for ongoing projects.
    • Facilitate workshops and meetings to gather requirements and present findings, ensuring alignment with project goals.
  5. Predictive Modeling:
    • Develop predictive models to forecast project timelines, resource allocation, and potential risks based on historical data.
    • Collaborate with cross-functional teams to implement data-driven strategies that optimize project outcomes.
  6. Tool Development and Automation:
    • Identify opportunities for automation in data collection and reporting processes to enhance efficiency.
    • Develop and maintain analytical tools and databases to support ongoing data analysis efforts.
  7. Quality Assurance:
    • Conduct regular audits of data quality and reporting processes to ensure compliance with industry standards and best practices.
    • Provide training and support to team members on data analysis tools and methodologies.

Qualifications:

  • Education:
    • Bachelors degree in Data Science, Engineering, Statistics, Computer Science, or a related field. A masters degree is a plus.
  • Experience:
    • 2+ years of experience in data analysis, preferably within the engineering or construction industry.
    • Proven experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis software (e.g., R, Python, or similar).
  • Technical Skills:
    • Proficiency in SQL for database management and querying.
    • Strong knowledge of Excel for data manipulation and analysis.
    • Familiarity with engineering software and tools (e.g., AutoCAD, Primavera) is a plus.
  • Soft Skills:
    • Excellent analytical and problem-solving skills.
    • Strong communication and presentation abilities to convey complex data insights to non-technical stakeholders.
    • Ability to work independently and collaboratively in a fast-paced environment.

What We Offer:

  • Competitive salary and benefits package.
  • Opportunities for professional development and continuous learning.
  • A dynamic and inclusive work environment.
  • Involvement in innovative engineering projects that make a difference.

Job Types: Full-time

Pay: From $23.50 - $30.50 per hour

Schedule: Monday to Friday (8 hours daily)

Expected hours: 40 per week 

Benefits:

  • 401(k)
  • Dental insurance
  • Vision insurance
  • Health insurance
  • Life insurance
  • Paid time off

Work Location: Remote 

Package Details

  • 401(k)
  • Dental insurance
  • Vision insurance
  • Health insurance
  • Life insurance
  • Paid time off