Barr is seeking an environmental data management technician to support the Assessment and Remediation business unit by managing and validating environmental data.
Requirements
proficiency in Microsoft Excel, including experience with charts and functions.
experience working with databases and managing large data sets.
1+ year of professional experience working with databases and/or Microsoft Excel.
knowledge and experience with the following applications: EQuIS, Access, Python, R, and/or Power BI.
Advanced Microsoft Excel skills including experience with macros and pivot tables.
Knowledge of chemistry and/or geology.
Knowledge of state and federal environmental regulations.
Responsibilities
support environmental data workflows by carefully entering, organizing, and validating data in EQuIS and Microsoft Excel.
Apply attention to detail when reviewing data against original field and lab documents to ensure completeness and accuracy.
apply deductive reasoning and scientific thinking to identify data discrepancies, assess data quality, and support the resolution of technical issues in environmental datasets.
Learn to interpret site data within regulatory and environmental frameworks while contributing to accurate, complete, and meaningful data deliverables.
prepare clear and concise data summaries, charts, boring logs, and figures for internal use and project documentation.
Provide concise status updates to project managers and stakeholders.
work effectively with various stakeholders to ensure data quality and project success.
Other
bachelor’s degree in environmental studies/sciences, geology, chemistry, biology, or a related field.
Must be legally authorized to work in the United States without the need for sponsorship by Barr, now or in the future.
A hybrid work arrangement may be considered for this position.
This position can be based out of Barr's Grand Rapids, Michigan; Minneapolis or Duluth, Minnesota; or Salt Lake City, Utah, offices.
The ideal candidate for this position is a detail-oriented and motivated individual with a strong interest in environmental data and technology.
