Enterprise Data Analyst - Westminster, CO

Enterprise Data AnalystRSI is a dynamic group of companies that has provided services to major federal clients and Fortune 500 engineering and construction companies since 1996. We have experience in complex, highly regulated markets providing environmental, nuclear, construction management, project delivery, and specialty professional services while maintaining an excellent safety record.We offer a full range of benefits including a generous PTO plan, paid holidays, FEHB medical, dental, vision, 401K (100% match up to 4% eligible compensation) and 100% immediate vesting, basic and supplemental life insurance, and short- and long-term disability.RSI is headquartered in Oak Ridge, Tennessee, and is a wholly owned operating company of ASRC Industrial (AIS). AIS is a wholly owned operating company of Arctic Slope Regional Corporation (ASRC), an Alaska Native Corporation (ANC). Through ASRC, we are a certified Minority Business Enterprise (MBE) and Small Disadvantaged Business (SDB), and we also offer 8(a) options.Position SummaryRSI is recruiting for an Enterprise Data Analyst who will be responsible for developing and maintaining the Department of Energy's (DOE) Office of Legacy Management's (LM) enterprise data architecture. Ensuring structured and unstructured data is organized, governed, secure, and accessible to support business operations and strategic decision-making. This position partners with Information Governance, Data Governance, Information Technology, Business Operations, and other business stakeholders to improve data quality, establish enterprise data standards, develop conceptual and logical data models, and support the organization's data maturity roadmap. This role helps transform data and information into trusted organizational assets while ensuring compliance with DOE policies.Essential Duties and ResponsibilitiesDevelop and maintain enterprise data architecture including conceptual, logical, and physical data models, metadata, business glossaries, taxonomies, and data standards.Partner with business units to understand business processes, identify data requirements, and recommend improvements that increase data quality, accessibility, integration, and lifecycle management.Support the Unified Governance Council and associated working groups by developing master data sets, data standards, business definitions, metadata, and governance practices.Analyze enterprise data sources to identify relationships, redundancies, quality issues, and opportunities for standardization.Collaborate with application owners, database administrators, business analysts, and developers to ensure enterprise solutions align with approved data architecture standards.Research emerging technologies, industry standards, and best practices in enterprise data architecture, metadata management, master data management, analytics, and information governance.Ensure enterprise data are managed according to DOE security requirements, privacy requirements, records management policies, and information governance standards.Assist with developing the organization's enterprise data roadmap and support implementation of data maturity initiatives.Support reporting, business intelligence, and analytics initiatives by improving the availability, consistency, and quality of enterprise data.Document data flows, system integrations, data lineage, and metadata to improve organizational understanding and reuse of enterprise information assets.Other duties as assigned.Required Education and Years of Relevant ExperienceBachelor's degree in Computer Science, Information Systems, Data Science, Information Management, Business Analytics, or related field. Equivalent experience may be considered.4-6 years of relevant experience.Experience in data architecture, data management, information architecture, business intelligence, analytics, or information governance.Experience working with enterprise data, relational databases, metadata management, or business intelligence tools preferred.Required Skills and AbilitiesUnderstanding of the principles of data science and enterprise data architecture.Understanding of data governance, metadata management, master data and reference data.Knowledge of data quality principles.Ability to create conceptual and logical data models.Familiarity with relational databases and SQL.Familiarity with Power BI or similar business intelligence platforms.Understanding of data lifecycle management.Ability to create policy by translating business requirements into data requirements.Strong analytical and problem-solving skills with experience collaborating across business and IT organizations.Experience documenting data definitions, business glossaries, and metadata.Knowledge of records management and information governance principles.Strong written and verbal communication skills, with an ability to work independently while supporting cross-functional teams.Clearance and Health RequirementsCriminal Background CheckPre-placement Drug ScreeningFit for Duty Test (if applicable)Essential Physical RequirementsSedentary: Work involves exerting up to 10 pounds of force occasionally or a negligible amount of force frequently to lift, carry, push, pull, or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs may be defined as sedentary when walking and standing are required only occasionally, and all other sedentary criteria are met.Job Posting Close Date: 10/23/2026EEO Statement: ASRC Industrial (AIS) and its operating companies affords equal opportunity in employment to all individuals regardless of race, color, religion, sex, age, national origin, pregnancy, familial status, disability status, veteran status, citizenship status, genetic information or any other characteristic protected under Federal, State or Local law. AIS is an Equal Opportunity Employer.