GSI Water Solutions, Inc. (GSI), an employee-owned water resources and environmental management consulting firm, is seeking a motivated, mid-level environmental data analyst to support our water resources and environmental management teams on a wide variety of projects.
The successful candidate will be based in Portland, Oregon and work with GSI scientists and water resource analysts to manage and analyze environmental and water-related data for our public and private clients in the Pacific Northwest and California.
Primary duties include:
Develop and utilize data validation tools in Excel, Access and SQL to identify data quality issues.
Collect and configure large datasets to meet project specifications.
Document work processes, compose training documents and conduct training sessions.
Implement, configure and test commercial-off-the-shelf data management related software to meet project specifications.
Provide technical support to field sampling teams and act as a liaison between the project staff, analytical laboratories, data validator and GIS analysts.
Provide reporting support by generating and formatting tables, charts, or graphs.
Research state and federal regulations necessary to manage action levels or clean-up criteria.
Bachelor's degree in science, engineering, or information technology required.
Minimum of five (5) years of relevant experience in the environmental field with an emphasis on environmental data management.
Solid SQL and relational database skills (SQL Server, Microsoft Access).
Experience with Enviro Data, EqulS, or other environmental data management solutions.
GIS experience with spatial analysis and cartographic skills.
Knowledgeable in using MS Excel to manipulate and organize data sets for import into a database and for final reporting.
Experience with statistical analysis and data visualization using R or other similar tools is a plus.
Strong attention to detail with excellent analytical, judgement, and problem-solving capabilities.
Motivated, strong interpersonal skills, and ability to work with minimal supervision.