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Asphalt and Emulsions - Data Analysts

Remote / Online - Candidates ideally in
Columbus, Franklin County, Ohio, 43216, USA
Listing for: Ergon
Remote/Work from Home position
Listed on 2026-06-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Job Description & How to Apply Below
Position: Ergon Asphalt and Emulsions - Data Analysts I (2)
We are a great company with great pay and great benefits. Ergon, Inc. is a relationship-driven company that values each employee's willingness to learn and contribute to the team. We are family owned with locations throughout the world, but we pride ourselves on maintaining a small-company feel.

Position Summary

The Data Analyst I is responsible for supporting the development, management, and validation of accurate roadway inventory and condition data across all client projects. This entry-level role plays a key part in transforming raw data into structured, reliable information that supports Pavement Condition Index (PCI) calculations, reporting, and final deliverables.

Working under general supervision, the Data Analyst I assists in ensuring data integrity, supporting condition assessments, and contributing to quality assurance processes. This role also supports ongoing improvements to roadway analysis tools.

Key Responsibilities

Data Management & Processing

* Collect, organize, and process roadway inventory and condition data from multiple sources

* Validate data accuracy and completeness in alignment with ASTM standards

* Perform routine data remediation tasks, including identifying inconsistencies, correcting errors, and standardizing datasets

* Maintain organized and traceable datasets to support downstream analysis and reporting

Analysis & Reporting Support

* Assist in preparing datasets for PCI calculations and project deliverables

* Perform basic data analysis to identify trends, anomalies, and data gaps

* Support the generation of client-ready outputs by ensuring consistency and accuracy of data

AI Data Validation & Support

* Review roadway distress outputs

* Validate distress types, severity levels, and quantities against established standards

* Provide feedback on outputs to support continuous improvement and model refinement

* Assist in bridging automated data processing with human quality validation

Quality Assurance & Standards Compliance

* Support QA/QC processes by reviewing datasets for adherence to quality standards

* Ensure consistency across data systems and project deliverables

* Participate in maintaining and improving data standards and documentation

Collaboration & Process Improvement

* Work closely with GIS, QA/QC, and operations teams to ensure seamless data integration

* Support cross-functional efforts to deliver projects on time and within quality expectations

* Contribute to workflow efficiencies, process improvements, and scalability initiatives

Qualifications

Education

* Associate's degree (or in pursuit of) in Data Analytics, Engineering, GIS, Computer Science, Statistics, or a related field (or equivalent experience)

Experience

* 0-2 years of experience in data analysis, data processing, or a related field

* Exposure to infrastructure, roadway, or asset management data preferred but not required

Technical Skills

* Basic proficiency in data analysis tools (e.g., Excel, SQL, or similar)

* Familiarity with GIS concepts or tools (e.g., ArcGIS, QGIS) is a plus

* Ability to work with large datasets and perform data validation

* Exposure to AI/ML concepts or data labeling/validation is beneficial

Core Competencies

* Strong attention to detail and commitment to data accuracy

* Analytical thinking and problem-solving skills

* Ability to follow defined processes and standards

* Effective communication and teamwork skills

* Willingness to learn and adapt in a technology-driven environment

Working Conditions

* Primarily office-based or remote work with extended periods of computer use

* May require occasional coordination across teams or departments to meet project deadlines

Come join the team!

Must be able to pass a pre-employment drug screen and background check. A clean MVR is required.

We are an EEO/AAP employer.

Job Role:

Data Analyst I

Location:

Heath, OH
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