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Construction Data Analyst Jobs in Texas (NOW HIRING)

Data Analyst

Dallas, TX · Remote

$23.50 - $30.50/hr

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 ...

Peterbilt Motors Company On highways, construction sites, city streets, logging roads - everywhere ... This role reports to the Data Analytics Manager, AfterSales. Job Responsibilities * Extract, clean ...

Peterbilt Motors Company On highways, construction sites, city streets, logging roads - everywhere ... This role reports to the Data Analytics Manager, AfterSales. Job Responsibilities * Extract, clean ...

Data Analyst I Business Intelligence & Strategy | Hays Electrical Services | Houston, TX | On-Site ... Exposure to construction, trades, or project-based industry data * Experience with Vista by Trimble ...

Data Analyst I Business Intelligence & Strategy | Hays Electrical Services | Houston, TX | On-Site ... Exposure to construction, trades, or project-based industry data * Experience with Vista by Trimble ...

Data analyst I

Austin, TX · On-site

$25 - $28/hr

1-3 years' experience in data analysis Strong Microsoft Excel skills (must-have) Experience with ... Reads and interprets engineering drawings, construction drawings and other technical information ...

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Showing results 1-20

Construction Data Analyst information

See Texas salary details

$30.7K

$72.9K

$102.9K

How much do construction data analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for construction data analyst in Texas is $72,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,300.00 and $89,400.00 per year, depending on experience, location, and employer.

What does a construction data analyst do?

A Construction Data Analyst collects, processes, and analyzes data related to construction projects to improve efficiency, reduce costs, and enhance decision-making. They work with project schedules, budgets, material usage, and workforce productivity to identify trends and potential risks. Using data visualization and reporting tools, they provide insights to project managers and stakeholders. Their role helps optimize project performance, ensuring timely and cost-effective project completion.

What are the key skills and qualifications needed to thrive as a construction data analyst?

To thrive as a Construction Data Analyst, you need strong analytical skills, expertise in data management, and a solid understanding of construction processes, often supported by a relevant degree such as engineering, data science, or construction management. Familiarity with industry-standard tools like Excel, Power BI, Tableau, and construction management software (e.g., Procore) as well as relevant certifications such as Certified Construction Data Analyst (CCDA) or PMP, can be beneficial. Attention to detail, strong problem-solving abilities, and effective communication skills help you interpret complex datasets and present actionable insights to project stakeholders. These qualifications are vital for turning raw data into strategic decisions that improve efficiency, cost control, and project outcomes in the construction industry.

What does a typical day look like for a construction data analyst on a construction project team?

As a Construction Data Analyst, your day will often be a mix of collecting and analyzing project data, generating reports, and working closely with project managers, engineers, and field teams. You might spend mornings extracting data from construction management systems to monitor project progress or identify cost and schedule variances. Afternoons could involve preparing visualizations and dashboards for team meetings, or collaborating with stakeholders to recommend process improvements based on findings. The role is highly collaborative, requiring frequent communication with both office and site personnel to ensure accurate data flow and project transparency. This dynamic environment offers significant opportunities to directly impact project performance and build expertise in data-driven decision-making within the construction sector.

What does a construction data analyst do in a construction company?

A construction data analyst collects, analyzes, and interprets data related to construction projects to improve efficiency, cost management, and decision-making. They often use tools like Excel, SQL, or specialized software to track project progress, budgets, and safety metrics, supporting project managers and stakeholders.

What are popular job titles related to Construction Data Analyst jobs in Texas?

For Construction Data Analyst jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Construction Data Analyst jobs in Texas look for?

The top searched job categories for Construction Data Analyst jobs in Texas are:

What cities in Texas are hiring for Construction Data Analyst jobs?

Cities in Texas with the most Construction Data Analyst job openings:

Infographic showing various Construction Data Analyst job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $72,862 per year, or $35 per hour.

$23.50 - $30.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 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