Data Manager (data migration, verification, EQuIS, SQL)

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.