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Remote Civil Engineering Data Analyst Jobs in Indiana

Highway Engineer

Munster, IN · On-site +1

$95K - $110K/yr

This position can be located in the Munster, IN area, or surrounding areas or can be Remote in ... Bachelor's degree in civil engineering * Experience in the design and construction of municipal, or ...

Data Architect

Indianapolis, IN · On-site +1

$123K - $150K/yr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... Programming - Write clean, well-documented, and testable code using best practices. Leverage ...

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... Knowledge of the latest technologies and trends in data engineering are highly preferred and ...

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... Knowledge of the latest technologies and trends in data engineering are highly preferred and ...

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... Knowledge of the latest technologies and trends in data engineering are highly preferred and ...

... data analysis, and programming, along with the ability to translate complex findings into clear ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Showing results 41-60

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?

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 cities in Indiana are hiring for Remote Civil Engineering Data Analyst jobs? Cities in Indiana with the most Remote Civil Engineering Data Analyst job openings:

Data Analyst / Business Intelligence (BI) Support Specialist - Temporary - Hybrid Remote

Hoosier Energy

Bloomington, IN • On-site, Remote

Full-time

Re-posted 23 hours ago


Job description

Position Overview 

The Data Analyst / Business Intelligence (BI) Support Specialist - Temporary is responsible for the design, development, implementation, and support of enterprise Business Intelligence (BI) solutions. This position ensures data integrity, security, and performance across BI platforms and provides application support to business units.

Essential Duties and Responsibilities 

  • Develop and maintain BI solutions utilizing Microsoft Fabric, Power BI, and Azure Data Services.
  • Design and implement data models, ETL/ELT pipelines, and visualization dashboards.
  • Build and optimize Power BI reports, dashboards, and paginated reports.
  • Manage Azure Synapse, Data Factory, Data Lake, and Fabric Data Warehouse for data processing and transformation.
  • Write and optimize T-SQL queries, stored procedures, and indexing in SQL Server (2019+).
  • Provide Level 2/3 support for custom SQL-driven applications, including troubleshooting and user support.
  • Maintain the Alation data catalog, ensuring metadata accuracy and compliance with governance standards.
  • Ensure data governance, security, and compliance, including role-based access control (RBAC) and row-level security (RLS).
  • Collaborate with business stakeholders, developers, and analysts to translate requirements into BI solutions.
  • Monitor BI system performance and implement improvements for reliability and availability.
  • Work with IT Applications and IT Infrastructure teams to implement CI/CD pipelines for BI deployments.
  • Mentor BI team members and promote best practices in analytics development.

Minimum Qualifications 

  • Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent experience.
  • Minimum of 3 years’ experience in Business Intelligence, Data Analytics, or Data Warehousing.
  • Experience with Microsoft Fabric, Power BI, and Azure Data Services (Data Factory, Synapse, Data Lake, Dataverse).
  • Advanced proficiency in SQL Server (T-SQL, query optimization, indexing).
  • Proficiency in DAX, Power Query (M language), and Power BI development.
  • Experience with data modeling techniques (Star Schema, Snowflake) and performance optimization.
  • Experience designing and implementing ETL/ELT pipelines for structured and unstructured data.
  • Familiarity with RBAC, RLS, and compliance best practices.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications 

  • Experience with Azure SQL, DevOps for BI deployments, or Python for data preparation.
  • Familiarity with ITIL and/or ITSM ticketing systems.
  • Ability to present insights to non-technical audiences.

Working Conditions

  • Office environment, Bloomington, IN.
  • Occasional travel may be required.
  • Standard work hours with flexibility for project deadlines.

This full time position is temporary; however, it is expected to potentially have a duration of indefinite. The incumbent will be employed through Express Employment.

Hoosier Energy is an Equal Opportunity Employer and prohibits discrimination on the basis of race, color, religion, national origin, sex (including pregnancy and gender identity), sexual orientation, age, ancestry, genetic information, disability, veteran status or any other characteristic protected by federal, state or local laws.