Job Description

ERM Consultant Level 2 – Environmental Data Manager

ERM is seeking a Consultant Level 2 Environmental Data Manager to join our growing team of data professionals supporting environmental and sustainability projects across globally. This role is ideal for a detail-oriented, self-motivated individual with a passion for data quality, analytics, and environmental impact.

Responsibilities

  • Integrate data from laboratory, field, and historical sources into ERM’s EQuIS databases and other data systems.
  • Collaborate with project teams to plan sampling campaigns, manage deliverable schedules, and provide query/reporting support.
  • Develop reporting dashboards and data visualizations for a wide variety of environmental projects.
  • Coordinate with ERM and client-contracted laboratories to ensure data quality and reporting objectives are met.
  • Support ERM’s Technical Communities in developing innovative data services and automated workflows.
  • Maintain strong working relationships with clients, ERM colleagues, and subcontractors.
  • Perform and manage multiple tasks within scope, budget, and schedule expectations while ensuring quality standards.

    • Requirements

  • BS/BA degree in environmental science, data management, analytics, or a related field—or equivalent relevant experience.
  • Minimum of 3 years of experience in environmental data management with strong analytical and database skills.
  • Intermediate to advanced proficiency in EarthSoft’s EQuIS and Microsoft Office Suite (Excel, Word, Access).
  • Ability to analyze data for logic, consistency, and quality throughout all stages of a project.
  • Strong organizational and communication skills.
  • Ability to manage workload independently and adapt to changing deadlines.
  • Comfortable working in a computer-based, desk-oriented environment.

    • Preferred Qualifications

  • Experience with EQuIS modules such as SPM and Collect.
  • Familiarity with Microsoft Power BI and Power Apps.
  • Experience with programming languages such as R, Python, or similar.

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