Data Manager

Responsibilities

• Manage data governance processes and ensure adherence to ERM's compliance standards for environmental data.
• Collaborate with internal teams and laboratories to plan and prepare for sampling rounds and ensure timely and accurate data delivery, including troubleshooting EDD/EDP errors and supporting field data collection (Collect/EDGE).
• Support enterprise analytics and reporting by providing clean, structured datasets and generating standard EQuIS reports and Power BI/Excel summaries or preparing EQUIS outputs for 3D modelling in EVS or in GIS formats.
• Required Qualifications
• Bachelor's or Master's degree in Environmental Sciences , Data Management, Information Systems, Computer Science, or a related field (environmental background strongly preferred).
• At least 3 years of experience in environmental data management and data quality roles, including hands-on experience with EarthSoft EQuIS modules: EDP, Data Manager/Enterprise, Collect, and EDGE.
• Strong knowledge in EQuIS schema, data tables and structure, as well as on data management best practices .
• Experience with QA/QC routines for environmental data (validation, qualifiers, non-detects, duplicates, holding times).
• Active and e ffective English communication skills, with the ability to translate technical findings into actionable insights for project teams.
• Ability to manage workload independently and adapt to changing deadlines.
• Comfortable working in a computer-based, desk-oriented environment.

Requirements

• Hands-on experience with the EarthSoft EQuIS platform ( especially Enterprise, Data Processor, DQM, Collect, EDGE), including data loading, validation, and reporting environmental studies .
• Strong environmental data literacy around the sample and data lifecycle : understanding of sampling plans , sampling points characteristics , sampling methods , soil description , analytes, detection limits, qualifiers, QA/QC routines, and regulatory requirements.
• Technical background in environmental sciences, data management, or related fields, with the ability to communicate technical and data management concepts clearly.
• Systemic , problem-solving and continuous improvement mindset, attention to detail, and a commitment to data quality and governance.
• Experience with EQuIS Modules: SPM, DQM Format customization, DQM rule authoring, and Collect/EDGE form design.
• Familiarity with Python scripting for ETL, QA automation, or data normalization.
• Experience with programming languages such as R, Python, or similar.
• Experience with GIS tools (ArcGIS/QGIS) for geospatial data visualization and mapping.
• Intermediate s kills in Power BI or Excel for environmental data visualization and reporting.
• Knowledge in laboratory analytical methods and tests.
• Knowledge of laboratory data systems, LIMS workflows, and electronic data deliverables (EDD/SEDD).
• Exposure to cloud-based data platforms, SharePoint, or Power Automate for workflow integration.

Additional Information

Data Manager Why This Role Matters We're seeking a detail-oriented Data Manager to ensure the integrity and reliability of environmental quality data using the EarthSoft EQuIS suite. Your work will enable accurate analytics and reporting, driving informed decision-making for ERM's technical teams and clients. What Your Impact Is You'll oversee the entire environmental data lifecycle-from field and laboratory acquisition, through validation and QA/QC, to secure storage and reporting-ensuring accuracy, traceability, and compliance with regulatory and internal standards. By collaborating with cross-functional teams and interfacing with laboratories, you'll deliver high-quality datasets that support technical consultants in producing analyses, maps, and models for environmental quality studies .

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Company Intel

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