Ergon Asphalt and Emulsions - Data Analysts I (2)

Ergon Asphalt and Emulsions, IncColumbus, OH
Hybrid

About The Position

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.

Requirements

  • Associate's degree (or in pursuit of) in Data Analytics, Engineering, GIS, Computer Science, Statistics, or a related field (or equivalent experience)
  • 0–2 years of experience in data analysis, data processing, or a related field
  • Basic proficiency in data analysis tools (e.g., Excel, SQL, or similar)
  • Ability to work with large datasets and perform data validation
  • 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
  • Must be able to pass a pre-employment drug screen and background check.
  • A clean MVR is required.

Nice To Haves

  • Exposure to infrastructure, roadway, or asset management data preferred but not required
  • Familiarity with GIS concepts or tools (e.g., ArcGIS, QGIS) is a plus
  • Exposure to AI/ML concepts or data labeling/validation is beneficial

Responsibilities

  • 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
  • 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
  • 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
  • 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
  • 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

Benefits

  • great pay
  • great benefits
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