State of Minnesota-posted 8 months ago
$58,129 - $85,232/Yr
Full-time • Mid Level
Saint Cloud, MN
Executive, Legislative, and Other General Government Support

The Wastewater Data Coordinator serves as the technical data expert for the Minnesota Pollution Control Agency's (MPCA) point source water quality (wastewater) program. This position directs all wastewater program data management activities within the MPCA's enterprise data system (TEMPO), the U.S. Environmental Protection Agency's (EPA) Integrated Compliance Information System National Pollutant Discharge Elimination System (ICIS-NPDES), and other state and national databases for point source water quality permitting, compliance, and information. The role includes conducting a comprehensive audit of MPCA data in EPA systems annually, extracting and refining recurring reports for internal and external recipients, and providing data-driven recommendations to wastewater leadership regarding data integrity and quality within the program. Additionally, the Wastewater Data Coordinator acts as the lead subject matter expert for the MPCA's modernization effort to develop and refine wastewater data flows to ICIS-NPDES, providing point source water quality business process and data knowledge to internal Business Solutions staff, MNIT, and external systems developers, as well as coordinating testing and troubleshooting processes for wastewater program staff. The position is responsible for upholding the highest standards of data quality and data integrity, ensuring permit data structures are correct and sufficient to support automated compliance determination and electronic data interchange to the EPA.

  • Direct all wastewater program data management activities within the MPCA's enterprise data system (TEMPO) and EPA's ICIS-NPDES.
  • Conduct a comprehensive audit of MPCA data in EPA systems annually.
  • Extract and refine recurring reports for internal and external recipients.
  • Provide data-driven recommendations to wastewater leadership regarding data integrity and quality.
  • Act as the lead subject matter expert for the MPCA's modernization effort to develop and refine wastewater data flows to ICIS-NPDES.
  • Provide point source water quality business process and data knowledge to internal and external stakeholders.
  • Coordinate testing and troubleshooting processes for wastewater program staff.
  • Uphold the highest standards of data quality and integrity.
  • Two (2) years of professional experience managing data; querying databases; performing quality assurance and quality control analysis; and/or analyzing and reporting on data.
  • Three (3) years of demonstrated experience managing data; querying databases; performing quality assurance and quality control analysis; and/or analyzing and reporting on data.
  • A Bachelor's degree in Data Science, Data Analytics, Computer Science, Environmental Science, Ecology or other Natural Science, or a related degree with a broad knowledge of data analysis, data management, environmental science, or natural science.
  • Human relation and communication skills sufficient to collaborate and convey technical information to a wide range of clientele.
  • Accomplished planning and organizational skills to meet priorities, goals, and objectives.
  • Demonstrated problem-solving skills.
  • Experience with Microsoft Office applications including Excel, Word, SharePoint, Teams, and Outlook.
  • Experience manipulating large datasets with a wide variety of approaches and tools.
  • Ability to extract information from various sources to produce clear, concise analysis and reports.
  • Knowledge of state and federal laws, rules, and regulations regarding the NPDES/SDS programs.
  • Experience managing, querying, or analyzing environmental data or pollution-related data.
  • Knowledge of the federal NPDES Electronic Reporting Rule.
  • Expertise in querying MPCA data systems such as TEMPO and EPA's ICIS.
  • Experience working in environmental protection, water resources, or related environmental field.
  • Ability to conduct advanced data analyses and identify discrepancies in datasets.
  • Experience teaching, training, or mentoring others in data analysis and management.
  • Comprehensive health insurance.
  • Retirement plans including 401k.
  • Paid holidays and vacation time.
  • Flexible work schedules and telework options.
  • Professional development opportunities.
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