Utility Data and Modeling Analyst

Utility Data and Modeling Analyst (192174) HDR is seeking an entry‑level Utility Data, Asset Management & Hydraulic Modeling Analyst to support water and wastewater utility projects through applied hydraulic modeling analysis, data analytics, GIS, and asset management. The role contributes to system evaluations, capital planning, regulatory analysis, and development of technical deliverables for municipal utility clients. Key Responsibilities Assist with building and maintaining hydraulic model data for water distribution and wastewater collection systems using GIS datasets, as‑built drawings, and field data. Support hydraulic simulations, system performance evaluations, and scenario analyses for planning studies and operational assessments. Utilize data from industry modeling tools such as InfoWater, InfoSewer, InfoSWMM, InfoWorks ICM, SewerGEMs, WaterGEMs, EPANet, and ArcGIS Pro. Perform data acquisition, cleaning, validation, and exploratory analysis on large datasets including SCADA data, metering data, GIS layers, and monitoring records. Develop analytical and visualization outputs using SQL, Power BI, Python, R, and GIS platforms to support technical evaluations. Support database management, data structuring, and creation of modeling‑ready datasets to improve study reliability and documentation. Handle highly sensitive and confidential information with professionalism and discretion. Collaborate with stakeholders to improve business decisions by identifying patterns and trends in data. Develop data products including reports, visualizations, and dashboards. Adhere to software and data science development standards. Transform raw data into usable attributes for machine learning modules through feature engineering. Create automated data pipelines and data engineering solutions. Develop advanced and custom predictive models, tune models, and validate results. Contribute to asset inventory development, condition assessment processes, and risk prioritization activities supporting water and wastewater capital planning. Prepare asset management and capital improvement plan documents, including risk modeling graphics, lifecycle analysis summaries, and decision‑support exhibits. Integrate asset, condition, and geospatial data to support long‑term strategic planning for utility infrastructure. Support development of technical reports, planning documents, regulatory analyses, and client presentations. Assist with evaluating impacts of evolving state and federal environmental policies on client utility systems. Contribute to studies involving financial planning, rate evaluation, and long‑range system needs assessment. Actively participate in HDR’s employee‑owned collaborative culture by working closely with multidisciplinary teams. Communicate findings through written reports, visualizations, engineering graphics, and presentations. Maintain high standards of quality control, documentation, and analytical accuracy. Preferred Qualifications Bachelor’s Degree. A minimum of 3 years experience in a data science role. Foundational knowledge or academic experience in hydraulics, environmental systems, data analytics, GIS, or related disciplines. Familiarity with hydraulic modeling concepts or tools. Experience with ArcGIS Desktop, ArcGIS Pro, or ArcGIS Online. Oracle Spatial or SQL Server Spatial back‑end data processing experience. Understanding of asset management principles such as condition assessment, risk scoring, or lifecycle planning. Interest in environmental regulations and policy frameworks related to water and wastewater utilities. Required Qualifications A degree in a closely related field or combination of education and relevant experience. Self-motivated, detail-oriented professional with the ability to multitask. Proficiency with Microsoft Office, especially Word and Outlook. Proficiency with data engineering tools and languages such as SQL, Power Query, and Pandas. Proficiency with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib. Proficiency with data science languages such as Python and R. Ability to handle confidential information. Excellent writing, speaking, and organizational skills. Flexibility and ability to prioritize and handle multiple tasks in a fast‑paced environment. Strong verbal and written communication skills. Commitment to being an active participant in HDR’s employee‑owned culture. Employment Equity Statement At HDR, we are committed to the principles of employment equity. We are an affirmative action and equal opportunity employer. We consider all qualified applicants, regardless of criminal histories, arrest, and conviction records. Location United States — Minnesota — Saint Louis Park Schedule Full-time Employee Status Regular #J-18808-Ljbffr