German data manager – Hybrid in Frankfurt:
ERM is seeking an Environmental Data Management Consultant (Associate Level). The ideal candidate will be self-motivated, detail-oriented, and interested in a career involving analytical data management, database programming, or data science. As part of our team, you will work on large environmental projects across Germany, and support ERM’s projects worldwide.
RESPONSIBILITIES:
- Integrate data from laboratory, field, and historical sources into ERM’s EQuIS™ databases and other systems.
- Ensure quality standards on project deliverables and data workflows.
- Work with project teams to plan sampling campaigns and deliverable schedules, provide query/reporting support, and develop reporting dashboards.
- Design, develop, test, and maintain SQL Server tables, queries, functions, views, and stored procedures to support ad-hoc user reporting requests and troubleshooting.
- Work with ERM’s various Technical Communities to develop new data services.
- Interact and maintain successful relationships with clients, ERM employees, and subcontractors.
- Perform and manage multiple tasks within scope/budget/schedule expectations.
REQUIREMENTS:
- BS/BA degree in a related field.
- 2+ years of previous work experience in environmental data management with strong analytical/database skills, or clear aptitude for data science.
- German and English language fluency is required.
- Advanced Excel skills are required.
- Experience with dashboarding tools (Power BI or equivalent) and ArcGIS is required.
- Experience with the following applications is preferred: EarthSoft’s EQuIS™ (and all included modules); Microsoft Access, Microsoft Power Automate
- A background in chemistry, geology or experience with laboratory analytical databases (LIMS) and data validation is a plus.
- Experience with the following applications is preferred: Microsoft Access, SQL Server, R Studio, and Sharepoint. Familiarity with AutoCAD, as well as geological visualization tools like EnviroInsite, EVS, LeapFrog, gINT and RockWorks is a plus.
- Experience with the following programming languages is preferred: SQL, R and Python
- Strong organizational and communication skills are required.