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Remote Civil Engineering Data Analyst Jobs in Virginia

Remote, US Based, East Coast Working Hours ASRC Agile Decision Sciences LLC is currently seeking ... Collaborate with developers, Scrum Masters, and Army stakeholders to enable data-driven sprint ...

Remote, US Based, East Coast Working Hours ASRC Agile Decision Sciences LLC is currently seeking ... Collaborate with developers, Scrum Masters, and Army stakeholders to enable data-driven sprint ...

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

... remote work! BWXT is People Strong, Innovation Driven - be part of BWXT's innovation hub. BWXT ... Your skills in statistical analyses of high volume data, machine learning, machine vision or ...

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

... remote work! BWXT is People Strong, Innovation Driven - be part of BWXT's innovation hub. BWXT ... Your skills in statistical analyses of high volume data, machine learning, machine vision or ...

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 ...

Guides students through solving structural analysis problems, computing fluid flow parameters ... across civil engineering subdisciplines, efficient reference handbook usage, and time pressure ...

Guides students through solving structural analysis problems, computing fluid flow parameters ... across civil engineering subdisciplines, efficient reference handbook usage, and time pressure ...

Guides students through solving structural analysis problems, computing fluid flow parameters ... across civil engineering subdisciplines, efficient reference handbook usage, and time pressure ...

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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, and why are they important?

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 Virginia? The most popular types of Civil Engineering Data Analyst jobs in Virginia are:
What job categories do people searching Remote Civil Engineering Data Analyst jobs in Virginia look for? The top searched job categories for Remote Civil Engineering Data Analyst jobs in Virginia are:
What cities in Virginia are hiring for Remote Civil Engineering Data Analyst jobs? Cities in Virginia with the most Remote Civil Engineering Data Analyst job openings:
Data Analyst

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Posted yesterday


Job description

Position Title: Data Analyst

Location: Arlington, VA (Remote)

Clearance Level: Secret

Responsibilities will include, but are not limited to:

  • Analyze military operational data to identify trends, patterns, and anomalies that can inform strategic decision-making.
  • Clean, and preprocess large datasets related to Army operations, logistics, personnel, and intelligence for analysis.
  • Develop dashboards and reports to visualize key performance indicators and metrics for Army leadership.
  • Perform geospatial analysis to support mission planning, resource allocation, and situational awareness.
  • Conduct data mining and exploratory data analysis to extract insights from diverse military datasets.

Required qualifications

  • Bachelor’s Degree in related field of study or equivalent experience.
  • Minimum of three years of experience, one within DoD, working with big-data systems and developing production-level data models.
  • Possess skills and expertise in machine learning tools to select features, create, and optimize classifiers.
  • Possess demonstrable collegiate-level writing skills, demonstrated familiarity with the U.S. Army organization and regulations, and strong organization and communication skills.
  • Have a strong data science, machine learning, and statistical modeling background.
  • Communicate complex technical findings to a variety of audiences.
  • Demonstrate practical experience substantiating equivalent skills such as Structured Query Language, Microsoft Excel, R or Python statistical programming, Data Visualization, and Presentation Skills. Prior knowledge of Power BI, Tableau, and Advana data science is preferred.