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Civil Engineering Data Analyst Jobs in Indiana (NOW HIRING)

Identify process inefficiencies, bottlenecks, and opportunities for improvement using data analysis and established engineering methods * Develop and implement strategies and programs to improve ...

Civil Engineer

Indianapolis, IN · On-site

$60K - $100K/yr

... engineering drawings, and survey data • Coordinate with municipalities, agencies, and clients ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Prepare engineering designs and drafting using AutoCAD Civil 3D. * Conduct and provide guidance for site investigations, survey work, CAD production, and data collection. * Prepare, review, and ...

... engineering analyses. * The chosen applicant will work closely with the Schmidt Associates design team as well as other design partners and clients as needed. * experience in civil engineering ...

Perform detailed engineering calculations using advanced software to support analysis and design ... Conduct site investigations and field reconnaissance to collect existing physical data to ...

Summary Job Statement The Civil Design Engineer is responsible for the planning, design, and ... Perform engineering calculations and analyses to support project design and regulatory compliance.

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Data Analyst

Indianapolis, IN · On-site

$65K - $85K/yr

Collaborate with business analysts, QA, and developers to ensure accuracy and alignment. * Maintain ... Translate technical concepts (e.g., data integration issues, transformation logic, system ...

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Data Analyst

Indianapolis, IN · On-site

$65K - $85K/yr

Collaborate with business analysts, QA, and developers to ensure accuracy and alignment. * Maintain ... Translate technical concepts (e.g., data integration issues, transformation logic, system ...

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Civil Engineering Data Analyst information

See Indiana salary details

$32.4K

$78.6K

$129.4K

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 Indiana is $78,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 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.

What are the most commonly searched types of Civil Engineering Data Analyst jobs in Indiana? The most popular types of Civil Engineering Data Analyst jobs in Indiana are:
What are popular job titles related to Civil Engineering Data Analyst jobs in Indiana? For Civil Engineering Data Analyst jobs in Indiana, the most frequently searched job titles are:
Infographic showing various Civil Engineering Data Analyst job openings in Indiana 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 $78,637 per year, or $37.8 per hour.
Data Analyst

Full-time

Posted 23 days ago


Job description

The Data Analyst – Manufacturing is responsible for analyzing production and operational data to support efficient, cost-effective, and high-quality manufacturing processes. This role combines data analytics with process improvement practices to identify opportunities for increased productivity, reduced waste, and improved performance across operations. The position supports a proactive, data-driven approach to decision-making within the organization.

Essential Duties and Responsibilities

  • Collect, validate, and analyze data from manufacturing systems, including production equipment, ERP systems, quality systems, and other operational sources
  • Evaluate current work processes to determine workflow, time requirements, cost drivers, and production durations
  • Identify process inefficiencies, bottlenecks, and opportunities for improvement using data analysis and established engineering methods
  • Develop and implement strategies and programs to improve productivity, efficiency, and overall operational performance
  • Support process optimization efforts by analyzing workflows and recommending improvements to increase throughput and reduce waste
  • Assist in determining optimal process settings and operational parameters to improve output and control costs
  • Analyze equipment performance data to support predictive maintenance efforts and reduce unplanned downtime
  • Work with maintenance and operations teams to identify trends and recommend preventative actions to extend equipment life
  • Analyze quality data to identify defect patterns and root causes
  • Instruct and support employees in continuous improvement efforts, including process mapping, root cause analysis, and cost/time analysis techniques
  • Facilitate team-based improvement activities to strengthen collaboration and improve results
  • Develop and coordinate programs to recognize and reward employee contributions to process improvement initiatives

Qualifications

  • Bachelor's degree in Data Analytics, Industrial Engineering, Manufacturing Engineering, Economics, or a related field
  • Proficiency in Microsoft Excel and data analysis tools; experience with SQL, or similar systems preferred
  • Working knowledge of manufacturing processes and continuous improvement methodologies

Skills and Competencies

  • Strong analytical and problem-solving skills
  • Ability to interpret data and provide practical, actionable recommendations
  • Effective communication and training skills
  • Strong attention to detail and accuracy
  • Ability to work independently and within cross-functional teams

Language Ability:

Ability to read, analyze, and interpret common scientific and technical journals, financial reports, and legal documents. Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community.

Math Ability:

Ability to apply advanced mathematical concepts such as exponents, logarithms, quadratic equations, and permutations. Ability to apply mathematical operations to such tasks as frequency distribution, determination of test reliability and validity, analysis.

Reasoning Ability:

Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.

Computer Skills:

Advanced working knowledge of Microsoft Office Suite required.

Certificates and Licenses:

No certifications needed

Supervisory Responsibilities:

This job has no supervisory responsibilities.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is frequently exposed to work near moving mechanical parts; fumes or airborne particles and toxic or caustic chemicals. The employee is occasionally exposed to wet or humid conditions (non-weather); work in high, precarious places; outdoor weather conditions and vibration.

The noise level in the work environment is usually moderate, occasionally loud or very loud.

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The employee must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 50 pounds. Specific vision abilities required by this job include Close vision, Distance vision, Color Vision, Peripheral vision, Depth perception and Ability to adjust focus. While performing the duties of this Job, the employee is regularly required to use hands to finger, handle, or feel; reach with hands and arms; talk or hear and taste or smell. The employee is frequently required to stand and walk. The employee is occasionally required to sit; climb or balance and stoop, kneel, crouch, or crawl.