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Civil Engineering Data Analyst Jobs (NOW HIRING)

... civil engineering projects. The ideal candidate will have experience in restoration design ... mapping and data analysis experience • Master's Degree in a related field • QSD or QSP ...

Civil Engineering Intern

Concord, CA · On-site

$25 - $34.11/hr

The Civil Engineer Intern will support civil engineering teams in the planning, design, analysis ... data, conduct engineering analyses, and perform calculations and modeling utilizing appropriate ...

Norfolk, Virginia Rivet Operations Company has an opening for an Engineering Data Analyst to join ... Bachelor's level degree in Naval Architecture or Civil Engineering * 3 years' professional ...

Norfolk, Virginia Rivet Operations Company has an opening for an Engineering Data Analyst to join ... Bachelor's level degree in Naval Architecture or Civil Engineering * 3 years' professional ...

Norfolk, Virginia Rivet Operations Company has an opening for an Engineering Data Analyst to join ... Bachelor's level degree in Naval Architecture or Civil Engineering * 3 years' professional ...

Civil Engineering Intern

Las Cruces, NM · On-site

$17.25 - $22.50/hr

Assists in the preparation of reports, calculations, databases, quantity take-offs, data analysis ... Knowledge of Civil Engineering fundamentals, surveying, drafting, and general civil engineering ...

Civil Engineering Intern

Socorro, NM · On-site

$16.50 - $21.50/hr

Assists in the preparation of reports, calculations, databases, quantity take-offs, data analysis ... Knowledge of Civil Engineering fundamentals, surveying, drafting, and general civil engineering ...

Civil Engineering Intern

Albuquerque, NM · On-site

$17 - $22/hr

Assists in the preparation of reports, calculations, databases, quantity take-offs, data analysis ... Knowledge of Civil Engineering fundamentals, surveying, drafting, and general civil engineering ...

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Civil Engineering Data Analyst information

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$34K

$82.6K

$136K

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

As of Jul 16, 2026, the average yearly pay for 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.

Can a civil engineer become a data engineer?

A civil engineer can become a data engineer by acquiring skills in programming, data management, and cloud platforms, often through additional training or certifications in data science and database systems. Their analytical and project management experience can be valuable, but they need to develop expertise in data pipeline development, SQL, and big data tools like Hadoop or Spark. Transitioning may require a focus on technical skills and relevant certifications to meet the requirements of data engineering roles.

What are the key skills and qualifications needed to thrive in the Civil Engineering Data Analyst position, and why are they important?

To thrive as a Civil Engineering Data Analyst, you need a strong background in civil engineering principles, data analytics, and quantitative problem-solving, typically supported by a degree in civil engineering or a related field. Familiarity with tools such as AutoCAD, GIS software, SQL databases, and statistical analysis programs like MATLAB or Python is highly valued, along with relevant certifications in data analytics or engineering. Excellent communication, collaboration, and attention to detail are key soft skills in this position. These skills ensure the accurate interpretation of complex data, effective teamwork, and informed decision-making for engineering projects.

Can a civil engineer work as a data analyst?

A civil engineer can work as a data analyst by applying skills in data collection, analysis, and visualization, often using tools like Excel, SQL, or Python. Transitioning may require gaining knowledge of data-specific software and statistical methods, but the analytical mindset and problem-solving skills from civil engineering are valuable in data analysis roles.

Is 40 too late for data science?

For a civil engineering data analyst, starting a career in data science at age 40 is feasible, as the field values skills and experience over age. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and data visualization. Continuous learning and practical experience are key factors for success regardless of age.

Can you make $500,000 as a civil engineer?

Civil engineering data analysts typically do not earn $500,000 annually; such high salaries are rare and usually occur in executive or specialized consulting roles with extensive experience, advanced skills, or leadership responsibilities. Most civil engineers and related analysts earn significantly less, with top-tier professionals reaching higher salaries through senior positions or in high-cost regions. Certifications, advanced degrees, and project management skills can influence earning potential but generally do not lead to such high annual salaries in this field.

What is a Civil Engineering Data Analyst job?

A Civil Engineering Data Analyst focuses on collecting, analyzing, and interpreting data related to infrastructure projects, construction, and urban planning. They use statistical methods, software tools, and engineering principles to optimize project efficiency, assess risks, and support decision-making. Their work helps improve project outcomes, reduce costs, and enhance sustainability by leveraging data-driven insights.

What are typical daily tasks and responsibilities for a Civil Engineering Data Analyst?

As a Civil Engineering Data Analyst, your day-to-day work often involves collecting, cleaning, and analyzing large sets of engineering and construction data to support design, planning, and project management. You may create reports and data visualizations to communicate insights to engineers, architects, or project managers, and help optimize operations by identifying trends or inefficiencies. Collaboration is common, as you'll frequently work alongside project teams, field engineers, and IT specialists. Your role is essential for providing actionable data-driven recommendations that contribute to the success and safety of civil engineering projects.

More about Civil Engineering Data Analyst jobs
What cities are hiring for Civil Engineering Data Analyst jobs? Cities with the most 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 Civil Engineering Data Analyst jobs? States with the most job openings for Civil Engineering Data Analyst jobs include:
Infographic showing various Civil Engineering Data Analyst job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Engineering Data Analyst

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Medical, Dental, Vision, Life, PTO

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Job description

Position Data Analyst – Manufacturing & EngineeringDepartment EngineeringManager Engineering ManagerJob Type Full-Time – ExemptLocation On-Site – Burlington, NC
Job DetailsCompany Background

Alamance Foods is recognized as a leading manufacturer of aerosol whipped cream, flavored drinks, freeze pops, and bottled water, offering beloved brands like Classic Cream, Fun Pops, Coffee Toppers, Whipt, and Groovy Glacier. We produce, pack, and ship private labels based on customer-specific needs. An innovative company with proven experience in creating exciting new products that redefine what is possible in the food and beverage manufacturing industry.


Why Join Alamance Foods? What We Offer
  • Medical, Dental & Vision Benefits (eligible the 1st of the month following 60 days)
  • Life Insurance
  • Dependent Care Spending Account (DCSA)
  • Paid Time Off (PTO): 12 days annually
  • Paid Holidays
  • Career Growth and Advancement Opportunities
  • Professional Development and Mentorship
  • Supportive and Collaborative Team Environment
  • Employee-focused culture with long-term stability

Position Opportunity

Alamance Foods is seeking a motivated Data Analyst – Manufacturing & Engineering to support data-driven decision-making across manufacturing and engineering operations. In this hands-on, onsite role, you will partner with plant teams and engineering stakeholders to analyze operational data, improve processes, and deliver actionable insights that enhance manufacturing performance, optimize costs, and support strategic business decisions.


Essential Duties & ResponsibilitiesManufacturing & Engineering Data Analysis
  • Analyze and manage data across the Engineering Department, including:
    • Maintenance and equipment performance
    • Facility operations
    • Environmental systems (wastewater, chemicals, utilities, greenhouse gas emissions)
    • Packaging and production processes
  • Identify trends, risks, and opportunities using operational and engineering data.
  • Perform data cleaning, validation, and integration across multiple data sources.
  • Build and maintain datasets for ongoing reporting and analysis.
  • Translate business and engineering requirements into actionable data-driven insights.

Capital Projects & Financial Analysis
  • Support CAPEX project analysis, including:
    • Cost tracking
    • Budget versus actual analysis
    • Return on Investment (ROI)
    • Payback period analysis
  • Develop financial models supporting new equipment purchases and process improvement initiatives.

Continuous Improvement
  • Partner with Engineering and Operations teams to:
    • Understand manufacturing processes and data flows.
    • Identify inefficiencies and cost-saving opportunities.
    • Support Lean and continuous improvement initiatives.
  • Recommend process improvements based on analytical findings.

Reporting & Business Intelligence
  • Develop dashboards and reports using Power BI (preferred) or similar visualization tools.
  • Track and report:
    • Operational KPIs
    • Utility usage and cost trends
    • Wastewater and chemical usage
    • Maintenance performance metrics
  • Present findings to engineering leadership and operational stakeholders.
QualificationsEducation/Training
  • Bachelor's degree required in one of the following:
    • Data Science
    • Data Analytics
    • Business Analytics
    • Mathematics
    • Statistics
    • Computer Science or related analytical discipline
  • Master's degree preferred.

Experience
  • Experience working with operational, production, manufacturing, or engineering data preferred.
  • Experience within manufacturing, engineering, industrial, or food manufacturing environments preferred.
  • Experience developing dashboards and business intelligence reporting.

Knowledge, Skills & AbilitiesTechnical Skills
  • Proficiency in SQL
  • Python programming
  • Microsoft Excel and Microsoft Office Suite
  • Data analysis, modeling, validation, and cleansing
  • Power BI (preferred) or Tableau
  • Working with large datasets and relational databases
Technical Knowledge
  • Data warehousing concepts
  • ETL processes and data pipelines
  • Database structures and fundamentals
  • Basic understanding of cloud platforms
  • ERP systems
  • Exposure to Snowflake is a plus
Professional Skills
  • Strong analytical and problem-solving abilities
  • Excellent organizational and project management skills
  • Ability to communicate technical information to non-technical audiences
  • Strong collaboration skills across Engineering, Operations, Finance, and Leadership
  • Ability to simplify complex data into practical business solutions
  • Hands-on mindset with willingness to work in a manufacturing environment

Key Competencies
  • Data Analytics
  • Manufacturing Analytics
  • Business Intelligence
  • Financial Analysis
  • Continuous Improvement
  • Dashboard Development
  • Cross-Functional Collaboration
  • Critical Thinking
  • Data Visualization
  • Process Optimization
  • Communication & Presentation Skills

Work Environment

This position is based onsite in Burlington, North Carolina, and requires regular interaction with manufacturing, engineering, maintenance, and operational teams.

The role includes both office-based analytical work and time spent in production environments to understand manufacturing processes, validate operational data, and support continuous improvement initiatives.


Impact of the Role
  • Improve manufacturing efficiency through actionable data insights.
  • Increase visibility into operational performance through reporting and dashboards.
  • Support engineering and operations with accurate financial and operational analysis.
  • Improve capital project decision-making through ROI and cost analysis.
  • Enhance continuous improvement initiatives using data-driven recommendations.
  • Support business growth by improving the quality, accessibility, and reliability of operational data.

Equal Opportunity & Employment Eligibility

Alamance Foods Inc. is an Equal Opportunity Employer and does not discriminate based on age, race, color, creed, religion, disability, gender, ethnic or national origin, veteran status, or any other legally protected status.

Alamance Foods Inc. prohibits discrimination against individuals with disabilities and provides reasonable accommodations to qualified applicants and employees upon request.

Employment is contingent upon successful completion of Form I-9 and verification of authorization to work in the United States through E-Verify.


Alamance Foods logo

About Alamance Foods

Sourced by ZipRecruiter

At Alamance foods we combine innovative ideas with our proven experience to create exciting new products that redefine what's possible. Whether it's scaling up a product concept for production, or exceeding current industry benchmarks, our commitment to excellence is matched only by our appetite for a challenge. Our team of dedicated food scientists can work with you to develop new formulas, fine tune flavors, and scale up for production. We utilize advanced equipment and an established network of suppliers to quickly generate a range of custom formulations As one of the leading suppliers of whipped dairy products in the US, we can produce, pack, and ship your private label based on your specific needs. We also offer supply and logistics solutions for high-volume production demands.

Industry

Food and drink manufacturing

Company size

51 - 200 Employees

Headquarters location

Burlington, NC, US

Year founded

1927

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