ZipRecruiter

Log In

2

Remote Civil Engineering Data Analyst Jobs (NOW HIRING)

Futran Tech Solutions Pvt. Ltd.

Data Analyst

Data Analyst Location : Remote Product Operations' focus is to support and educate the people and ... Engineering, Product and several other teams. We are looking for a data analyst who shares our ...

IXIS

Data Analyst

This is a full-time remote position. We offer competitive compensation packages including health ... Collaborate with developers, data scientists, data engineers, strategists, and other technical and ...

Raymond

Civil Engineer

Savannah, GA · On-site +1

Conyers, GA / Charleston, SC / Raleigh, NC / Savannah, GA / Remote (Hybrid options available) About ... Perform civil engineering design and analysis for site development, grading, roadway, drainage, and ...

Lake County, IL

Civil Engineer

Libertyville, IL · On-site +1

$73K - $130K/yr

Libertyville, IL Job Type: Full-Time Remote Employment: Flexible/Hybrid Job Number: DOT Department ... Perform technical analysis and develop engineering solutions * Communicate technical information to ...

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 ...

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 ...

Lake County

Civil Engineer

Libertyville, IL · On-site +1

$73K - $130K/yr

Office-based, Mon-Fri, 8:00am-4:30pm, with flexible schedules and remote options. In-House Design ... technical analysis and develop engineering solutions Communicate technical information to ...

Sterling Engineering Inc.

Civil Engineer

Overland Park, KS · On-site +1

$100K - $130K/yr

Remote or Hybrid (if located near an office) Hire Type: Direct Hire Base Salary : $100,000 - $130 ... Perform engineering analysis and design while ensuring compliance with applicable codes and ...

next page

Showing results 1-20

All JobsCivil Engineering Data Analyst JobsRemote Civil Engineering Data Analyst Jobs

Remote Civil Engineering Data Analyst information

See salary details

$34K

$82.6K

$136K

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

As of Jul 14, 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.

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.
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 July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Futran Tech Solutions Pvt. Ltd.

Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Description: Data Analyst
Location : Remote
Product Operations' focus is to support and educate the people and businesses who use our products through direct interactions and scalable solutions. We develop processes to help improve the health of our products and work with cross-functional partners to ensure a high-quality experience on our platforms. You will gain experience and make an impact in a fast-growing organization. Those who join our teams are very passionate about solving people's issues, and are strong advocates for users globally. If you like helping people, Product Operations is for you.
The Product Operations team ensures that the suite of apps are as reliable as possible by working closely with Global Operations, Data Science, Engineering, Product and several other teams.
We are looking for a data analyst who shares our passion for helping make apps and products reliable and safe. The right candidate will be comfortable in a fast-moving organization and excited to collaborate cross functionally. You will possess strong quantitative analytical skills, statistical knowledge, data visualization skills and communication skills, and the ability to build strong partnerships to drive impact across the organization.
Responsibilities
Partner with teams within Product Operations, the broader Global Operations organization, Data Science, Data Engineering, Product and Engineering teams to solve problems and identify trends and opportunities
Independently analyze data, conduct research and synthesize feedback into plans, processes and playbooks
Build/maintain data infrastructure (reporting layer data pipelines, reports, dashboards, alerts) to monitor the performance of our operations and drive business understanding
Proactively propose creative technical and quantitative solutions to problems and drive these through to implementation e.g.through identification of data & tooling requirements enabling self-service / scalable solutions
Communicate results of analyses to non-technical stakeholders who are the users of systems involving metrics, pipelines, and dashboards
Define metrics/KPIs for end to end product operations and building repeatable and reproducible analysis
Minimum Qualifications:
Bachelor's Degree in a technical or research-oriented field such as engineering, data science, social science, or related fields, or equivalent practical experience.
4+ years of experience in strategy, operations, consulting, statistics, data analysis, or data science or directly related fields.
Proficiency with intermediate to advanced SQL concepts for data extraction.
Experience in managing multiple projects and meeting deadlines in a fast-paced environment.
Experience creating dashboards with Tableau, PowerBi, Alteryx and other data visualization tools.
Experience with statistical analysis, including hypothesis testing, regression, and experimental design.
Experience with communicating and presenting findings to non-technical stakeholders.
Preferred Qualifications:
Advanced technical degree or graduate degree in statistics, marketing, or related fields.
Experience measuring the performance of AI models
Experience with ETL pipeline development.

Apply