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Remote Construction Data Analytics Jobs (NOW HIRING)

Sr. Data Analytics Engineer

OR · Remote

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

Build and maintain data pipelines that power both ad-hoc analyses and production dashboards ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Build and maintain data pipelines that power both ad-hoc analyses and production dashboards ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

This is a remote position. Overview : The Portfolio Lead - Data & Analytics is responsible for driving strategic data engagements across key enterprise accounts . This role blends a consulting ...

The mission of the Senior Director, Data & Analytics is to build the data foundation and analytical ... Benefits Location Remote (US) Benefits & Perks * Competitive compensation and equity package (RSUs)

Senior Data & Analytics Architect

$68.75 - $92/hr

Senior Data & Analytics Architect Hybrid (Bogota, Sao Paulo, or Ciudad de Mexico) Full-time Data ... This role is 100% remote, and you will be integrated directly into PayJoy's engineering team ...

New

Senior Data & Analytics Architect

$68.75 - $92/hr

Senior Data & Analytics Architect Hybrid (Bogotá, São Paulo, or Ciudad de México) • Full-time ... This role is 100% remote, and you will be integrated directly into PayJoy's engineering team ...

New

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Remote Construction Data Analytics information

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$24

$54

$94

How much do remote construction data analytics jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for remote construction data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What is remote construction data analytics?

Remote construction data analytics involves collecting, processing, and analyzing data from construction projects without being physically present on-site. Professionals in this field use digital tools and software to monitor project progress, track equipment and materials, and identify trends or issues from a distance. This approach helps optimize decision-making, improve project efficiency, and reduce costs by leveraging real-time data and insights. Remote analytics are increasingly important as construction companies adopt more technology-driven methods.

What are the key skills and qualifications needed to thrive as a remote construction data analytics professional?

To thrive as a Remote Construction Data Analytics professional, you need a strong background in data analysis, construction management principles, and a relevant degree such as construction engineering, data science, or a related field. Familiarity with analytics tools like Power BI, Tableau, SQL, and construction management systems such as Procore or Autodesk BIM 360 is typically required. Excellent communication, problem-solving, and attention to detail are soft skills that help translate complex data insights to project stakeholders. These skills ensure accurate, actionable analytics that drive efficiency, cost savings, and informed decision-making in construction projects.

What are some common challenges faced by professionals in remote construction data analytics, and how can they be addressed?

Professionals in remote construction data analytics often encounter challenges such as data inconsistency from multiple sources, limited real-time access to on-site information, and effective communication with field teams. To address these, it's important to establish standardized data collection protocols, leverage cloud-based tools for real-time data sharing, and maintain regular virtual meetings with project stakeholders. Building strong relationships with both technical and construction teams also helps ensure that analytics insights are actionable and relevant to on-site operations.

What is the difference between Remote Construction Data Analytics vs Remote Construction Project Coordinator?

AspectRemote Construction Data AnalyticsRemote Construction Project Coordinator
Required CredentialsData analysis certifications, technical skills in analytics toolsProject management certifications, communication skills
Work EnvironmentData-focused, analytical tasks, software toolsCoordination, communication, scheduling
Industry UsageAnalyzing construction data, improving efficiencyManaging project timelines, liaising with teams

Remote Construction Data Analytics focuses on analyzing construction data to optimize processes, requiring technical and analytical skills. In contrast, Remote Construction Project Coordinators handle project schedules and team communication. Both roles are essential in construction but differ in daily tasks and skill sets.

More about Remote Construction Data Analytics jobs

What cities are hiring for Remote Construction Data Analytics jobs?

Cities with the most Remote Construction Data Analytics job openings:

What are the most commonly searched types of Construction Data Analytics jobs?

The most popular types of Construction Data Analytics jobs are:

What states have the most Remote Construction Data Analytics jobs?

States with the most job openings for Remote Construction Data Analytics jobs include:

Infographic showing various Remote Construction Data Analytics job openings in the United States as of August 2026, with employment types broken down into 2% Internship, 82% Full Time, 10% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Data Analytics Developer (Remote Eligible)

Mathematica

Chicago, IL • On-site, Remote

Full-time

Re-posted 26 days ago


Job description

Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development. Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company's growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength. Learn more about our benefits here: https://www.mathematica.org/career-opportunities/benefits-at-a-glance

At Mathematica, we take pride in our commitment to diversity. Building an inclusive culture that draws on the individual strengths of employees from different ethnic backgrounds, cultures, lifestyles, abilities, and experience is key to our success.

We are seeking an intellectually curious Data Analytics Developer in any of our locations who is passionate about using big data to answer research questions that influence decision making in U.S. health care policy. The ideal candidate will work in languages such as Python and SQL. Individuals with an interest in confronting the challenges of working with large, complex data sets, an interest in data manipulation and analysis, and a desire to become a subject matter expert in health care data are strongly encouraged to apply.

Responsibilities:

  • Working with large secondary data sources such as Medicare and Medicaid administrative claims data and survey data to effectively answer research questions about health care policy
  • Providing creating and best practice solutions for data processing optimization, commonly on cloud computing platforms
  • Ensuring data quality through all stages of data processing with rigorous quality control
  • Iteratively informing requirements and specifications, which will include articulating findings and working with researchers to adjust specifications and code as interim results are found