Data Manager (data migration, verification, EQuIS, SQL) job opportunity at ERM.



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ERM Data Manager (data migration, verification, EQuIS, SQL)
Experience: 3-years
Pattern: full-time
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verification, EQuIS, SQL)

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loacation New Delhi, India, India
loacation New Delhi, Ind..........India

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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