Data Management Specialist - Mid Level (Hybrid)

The role - what you'll do Barr is seeking a data management specialist to join our team. In this hybrid role, you will support the Assessment and Remediation business unit by managing, evaluating, and delivering environmental data that supports technical projects across a variety of clients and industries. Working in EQuIS, Microsoft Excel, and other data management tools, you will independently manage the evaluation, quality assurance, reporting, visualization, and workflow development of environmental data while partnering closely with scientists, engineers, geologists, and project teams.

Responsibilities may include managing and evaluating complex environmental datasets; maintaining and enhancing environmental databases; preparing technical reports, charts, figures, and boring logs; performing advanced data analysis and interpretation; troubleshooting and resolving data quality issues; developing and improving data management workflows; supporting project teams on technical data management needs; and identifying opportunities to improve data quality, efficiency, and consistency across projects.

The ideal candidate is a collaborative and analytical professional with demonstrated experience in environmental data management. They are comfortable balancing multiple projects, exercising sound technical judgment, and working independently while serving as a resource for colleagues. They are committed to continuous improvement, enjoy solving complex problems, and are passionate about delivering high-quality environmental data that supports informed technical decisions.

Your impact - key responsibilities Technical knowledge: independently manage environmental data throughout the project lifecycle by organizing, evaluating, maintaining, and delivering environmental data within EQuIS, Microsoft Excel, and related data management tools. Apply technical expertise to ensure data quality, consistency, and compliance with project requirements and applicable regulations.

Problem-solving: analyze complex environmental datasets to identify trends, resolve data quality issues, and recommend practical solutions. Apply scientific reasoning and technical judgment to support accurate environmental data interpretation and successful project outcomes. Communication: prepare and review technical data summaries, reports, charts, boring logs, figures, and other project deliverables.

Communicate effectively with project managers, scientists, engineers, clients, and other stakeholders regarding data management strategies, project status, and technical recommendations. Interpersonal savvy: collaborate with multidisciplinary project teams while serving as a technical resource for environmental data management. Share knowledge, mentor less experienced staff, contribute to process improvements, and promote best practices that enhance data quality and project efficiency.

About the opportunity Hybrid: a hybrid work arrangement may be considered for this position. A hybrid work arrangement refers to splitting time worked between a Barr office and a home office. This position can be based out of Barr's Minneapolis or Duluth, Minnesota, offices. About you - required core competencies Education: bachelor's degree in environmental science, environmental studies, geology, chemistry, biology, data science, or related field.

Experience: 3+ years of professional experience managing environmental databases, large datasets, or environmental data management activities in a consulting, laboratory, engineering, or related technical environment. Software: advanced proficiency in Microsoft Excel, including formulas, functions, data analysis, PivotTables, Power Query, and other data management tools. Experience working with EQuIS or similar environmental database platforms.

Demonstrated ability to independently manage multiple projects, prioritize competing deadlines, and deliver high-quality work with minimal supervision. Strong analytical, problem-solving, and critical thi