Analytics Engineer

• Own the University's Power BI environment, including workspaces, permissions, publishing, and the lifecycle of existing reports
• Build and maintain accurate, accessible, and performant dashboards and reports for operational and leadership audiences
• Review existing reports and recommend which to rebuild, consolidate, or retire
• Build and maintain dbt models in Snowflake that turn source data into clean, documented, and tested datasets
• Build business logic in dbt so reports stay simple and consistent and metrics mean the same thing everywhere
• Define and document shared metrics, business definitions, and semantic models supporting reporting and AI agents
• Validate data and reports, and investigate and explain discrepancies
• Scope requests directly with stakeholders and clarify questions, metrics, definitions, and report usage
• Push back constructively on unclear requirements and help stakeholders reach better questions
• Explain report logic and data limitations in plain language
• Support adoption through training and documentation
• Help establish practices for data modeling, report design, documentation, version control, and data governance

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