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ERM Global Services Private Limited is seeking a Senior Consulting Associate specializing in Data Management. This full-time role involves integrating environmental data from various sources into ERM's databases, planning sampling campaigns, providing query support, and developing reporting dashboards. The position requires experience with EQuIS databases, Microsoft Office Suite, and analytical skills to ensure data quality and consistency across environmental projects. The company also supports data services and automated workflows.
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 relevant 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 simila