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Remote Civil Engineering Data Analyst Jobs (NOW HIRING)

Piper Companies

Data Analyst - Power BI

Columbia, MD · Remote

$105K - $115K/yr

... analytics engineering, data-driven decision making, remote role, healthcare technology, clinical operations, operational efficiency, business outcomes, python scripting, spark, big data, data ...

Raymond

Civil Designer Intern

Conyers, GA · On-site +1

$14 - $18.25/hr

Conyers, GA / Remote or Hybrid (Multiple Raymond Offices) About Raymond: Raymond is a ... Perform calculations and basic analysis consistent with civil engineering principles * * Assist ...

Salas O'Brien

Civil Project Engineer

Austin, TX · On-site +1

$84.30K - $112.50K/yr

Lead the planning, design, and execution of civil engineering projects (e.g. - data collection ... Perform civil design calculations, analysis, and assessments following office documentation ...

Moody Engineering

Civil Engineer Designer

Columbus, OH · On-site +1

Moody Engineering is seeking experienced, growth-minded Civil CAD Engineers/Designers to join our ... We offer flexible remote work and exceptional benefits! What You'll Do * Develop detailed plans and ...

Insolation Technology LTD

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 ...

LHH US

Data Analyst

Zeeland, MI · Remote

$70K - $120K/yr

Programming (Python or similar) What We're Looking For * Strong hands-on experience with data ... We will not consider remote candidates. Pay Details: $70,000.00 to $120,000.00 per year Search ...

Purdue University

Data Analyst

West Lafayette, IN · On-site +1

Data Analyst City: West Lafayette Job Summary The Institutional Data Analytics + Assessment (IDA+A ... data engineering, data science, and data governance. Fully remote and hybrid work options are ...

SynergisticIT

Data analyst I

Dallas, TX · On-site +1

With remote work and global talent pools, even entry-level roles receive hundreds of applications ... Why Tech Companies Hire Our Candidates Today's employers are looking for developers, engineers, and ...

Alteryx

Sr. Engineering Insights Analyst

OR · Remote

This position is remote-friendly. Position Overview: We are building a data-driven understanding of how our engineering organization operates, and we're looking for a Data Analyst focused on ...

Alteryx, Inc.

Sr. Engineering Insights Analyst

This position is remote-friendly. Position Overview: We are building a data-driven understanding of how our engineering organization operates, and we're looking for a Data Analyst focused on ...

Data Ideology

Data Analyst

Pittsburgh, PA · Remote

Support ETL processes and collaborate with developers and stakeholders to ensure solutions align ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

LPL Solar

Civil Design Engineer

Fort Lauderdale, FL · Remote

Director of Engineering Location: Remote Employment Type: Full-Time, Exempt Position Summary The ... Perform site analysis using topographic data, geotechnical reports, and hydrology studies to guide ...

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Remote Civil Engineering Data Analyst information

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$34K

$82.6K

$136K

How much do remote civil engineering data analyst jobs pay per year?

As of Jun 1, 2026, the average yearly pay for remote civil engineering data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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.

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 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 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.

More about Remote Civil Engineering Data Analyst jobs
What cities are hiring for Remote Civil Engineering Data Analyst jobs? Cities with the most Remote Civil Engineering Data Analyst job openings:
What are the most commonly searched types of Civil Engineering Data Analyst jobs? The most popular types of Civil Engineering Data Analyst jobs are:
What states have the most Remote Civil Engineering Data Analyst jobs? States with the most job openings for Remote Civil Engineering Data Analyst jobs include:
What job categories do people searching Remote Civil Engineering Data Analyst jobs look for? The top searched job categories for Remote Civil Engineering Data Analyst jobs are:
Remote Civil Engineering Data Analyst jobs near you
Infographic showing various Remote Civil Engineering Data Analyst job openings in the United States as of May 2026, with employment types broken down into 31% Full Time, 54% Part Time, and 15% Contract. Highlights an 78% Physical, 1% Hybrid, and 21% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst - Power BI

Data Analyst - Power BI

Piper Companies

Columbia, MD • Remote

$105K - $115K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Job description

Piper Companies is seeking a Data Analyst to join a missiondriven Digital Transformation team focused on reshaping how patients and providers interact through innovative digital solutions. This role plays a key part in enabling datadriven decision making by transforming complex data into actionable insights that drive operational efficiency, product performance, and meaningful business outcomes. This position is fully remote , with occasional travel for teambuilding on client site.
Overview
In this role, you will partner with product, clinical, operational, and analytics stakeholders to understand business objectives, prepare and model data, and deliver reporting that clearly communicates progress toward key product goals. You will support the development of KPIs, build Power BI dashboards, and provide analytical insights that guide product and operational decisions. You will work under the supervision of the Sr. Director of Data & Analytics and collaborate closely with crossfunctional teams across the organization.
Key Responsibilities
  • Identify, define, and document key performance metrics for digital products, ensuring consistent and repeatable KPI definitions.
  • Clean, model, and prepare data from the enterprise data warehouse and other primary sources using SQL, Python/Pandas, and Databricks.
  • Develop, maintain, and optimize Power BI dashboards and visualizations that clearly communicate product performance to stakeholders.
  • Respond to adhoc reporting requests by gathering and analyzing data to answer business and operational questions.
  • Communicate analytical findings through clear written summaries, presentations, and discussions with product, clinical, and operational teams.
  • Collaborate with data scientists and analytics staff to operationalize data workflows and support modeling efforts.
  • Partner with product teams to understand business needs, identify opportunities for improvement, and provide datadriven recommendations.
  • Participate in departmental meetings, crossfunctional committees, and quality/service improvement initiatives.
  • Adhere to departmental policies, procedures, quality standards, and regulatory requirements.
  • Perform additional duties as assigned.
Qualifications
Education & Training
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
Experience
  • 3+ years of professional experience in data analysis or a related field.
Knowledge, Skills & Abilities
  • Strong data modeling and analysis skills, including experience with Databricks, Python/Pandas, and SQL.
  • Proficiency working with large relational databases (Microsoft SQL Server preferred).
  • Experience with version control tools such as GitHub or Azure DevOps.
  • Advanced Power BI skills, including building dashboards, visuals, and DAX measures.
  • Strong Excel proficiency.
  • Excellent written and verbal communication skills, with the ability to translate complex data into clear insights for diverse audiences.
Compensation & Benefits
  • Salary: $105,000 - $115,000 annually.
  • Work Environment: Fully remote with occasional travel for teambuilding.
  • Comprehensive benefits package including Medical, Dental, Vision, 401(k), PTO, holidays, and sick leave as required by law.
Keywords:
data analyst, digital transformation, data modeling, databricks, delta lake, python, pandas, sql, microsoft sql server, relational databases, data cleaning, data preparation, data pipelines, kpis, product analytics, product metrics, performance metrics, power bi, dax, dashboards, data visualization, business intelligence, bi reporting, excel, version control, github, azure devops, enterprise data warehouse, edw, data wrangling, data storytelling, stakeholder communication, crossfunctional collaboration, adhoc reporting, analytics insights, operational analytics, product analytics, healthcare analytics, digital product performance, metric definitions, data workflows, data scientists, analytics engineering, data-driven decision making, remote role, healthcare technology, clinical operations, operational efficiency, business outcomes, python scripting, spark, big data, data modeling best practices, data governance, data quality, data validation, kpi development, metric tracking, business alignment, actionable insights, product teams, product performance reporting, data visualization best practices, remote work, occasional travel, piper companies

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