Risk & Claims Analyst

SUMMARYSupports the District's risk and claims operations through analysis of claims, incident, and loss data. Transforms raw data into usable information, analyzes trends and contributing factors, and develops clear reports, visualizations, and summaries that help identify emerging risks and opportunities for operational improvement and loss reduction. Works collaboratively with the Claims Manager and Director of Risk Management to answer operational questions through data analysis and support data-informed decision-making. Maintains the accuracy and integrity of claims data and supports high-risk activity and travel reviews, audits, legal requests, and public records requirements.ESSENTIAL DUTIES AND RESPONSIBILITIESTo perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.Prepare, clean, validate, and analyze claims, incident, and loss data from the RMIS and other sources to identify patterns, trends, concentrations, anomalies, and potential contributing factors, including changes in frequency, severity, type, location, cause, injury characteristics, and reporting patterns.Translate analytical findings into clear reports, charts, tables, and written summaries that explain what the data shows, why the findings may be operationally significant, and where changes in practices, training, controls, or further review may be appropriate.Collaborate with the Claims Manager and Director of Risk Management to answer operational questions through data analysis, refine reporting needs, identify appropriate data fields, and improve the consistency and usefulness of claims data and reporting.Conduct scheduled and ad hoc analyses to answer operational questions, compare results across time periods and operational areas, and identify emerging risks and opportunities for loss prevention, process improvement, or further review.Review and process high-risk activity and travel requests in accordance with established procedures, including tracking requests, documenting follow-up, and preparing summary information for Risk Management leadership and cross-functional partners.Maintain organized electronic records and compile data and documentation needed to support audits, legal discovery, and Colorado Open Records Act (CORA) requests, following applicable records-retention, confidentiality, and data-privacy requirements.Perform other duties as assigned.EXPERIENCEThree (3) years of experience working with data in claims, risk management, benefits, finance, operations, analytics, or a related field. Experience must include independently organizing, cleaning, analyzing, and interpreting raw data using Microsoft Excel or comparable spreadsheet tools.EDUCATION AND TRAININGHigh school diploma or equivalent required. Post-secondary education, including two years toward a bachelor's degree and/or an associate degree, is strongly preferred. Relevant education, training, and experience may be considered in combination, consistent with District classification requirements.Experience with Excel Power Query and an RMIS or comparable claims, case-management, or operational database is preferred.Familiarity with claims, insurance, workers' compensation, liability, incident, safety, or public-sector risk management data is preferred.Ability to manage recurring analyses, ad hoc requests, high-risk activity and travel reviews, and time-sensitive records requests while maintaining accuracy, confidentiality, and attention to detail.Ability to translate analytical findings into clear written and visual summaries for non-technical audiences and identify practical opportunities for loss reduction, process improvement, training, controls, or further review.Demonstrated ability to clean, organize, combine, validate, and analyze raw data from multiple sources; identify meaningful trends, anomalies, and potential contributing factors; and develop clear, supportable conclusions without overstating what the data establishes.Application close date 11/15/26