Utility UMS Analyst

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. This position contributes to system evaluations, capital planning, regulatory analysis, and development of technical deliverables for municipal utility clients. The successful candidate will demonstrate strong analytical capability, technical rigor, and an interest in advancing data‑driven utility planning. Key Responsibilities Perform data acquisition, cleaning, validation, and exploratory analysis on large datasets including SCADA data, metering data, GIS layers, and monitoring records. Utilize data from industry modeling tools from Innovyze, Bentley, Aquanuity and more through ArcGIS Pro. Assist with building and maintaining hydraulic models and 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. 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. Develop data products including reports, visualizations, and dashboards. Communicate findings through written reports, visualizations, engineering graphics, and presentations. Assist in preparing 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. Preferred Qualifications Bachelor’s Degree in Civil or Environmental Engineering or related field or Certificate for Data Science and Visualization. Experience with ArcGIS Desktop, ArcGIS Pro, or ArcGIS Online. 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 or academic exposure to hydraulic modeling concepts or tools. Understanding of asset management principles such as condition assessment, risk scoring, or lifecycle planning. Experience contributing to asset inventory development, condition assessment processes, and risk prioritization activities supporting water and wastewater capital planning. Required Qualifications A degree in a closely related field or combination of education and relevant experience. Self‑motivated, detail‑oriented professional, ability to multitask a must. Proficiency with MS Office including 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 and people skills. Strong math and organizational skills. Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast‑paced environment. Excellent verbal and written communication skills including grammar, punctuation, proofreading, spelling and telephone skills. An attitude and commitment to being an active participant of our employee‑owned culture is a must. At HDR, we are committed to the principles of employment equity. We are an affirmative action and equal opportunity employee. We consider all qualified applicants, regardless of criminal histories, arrest and conviction records. #J-18808-Ljbffr