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BI & Analytics Engineer
University HUB. Own the University's Power BI environment, including workspaces, permissions, publishing, and the lifecycle of existing reports .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing Power BI environments, building and maintaining dashboards and reports, and ensuring data accuracy and governance. Proficient in SQL and data modeling, with a strong ability to communicate complex data concepts to non-technical stakeholders.
Highest-signal resume keywords
Power BI Environment ManagementStrong SQL SkillsData Modeling ConceptsReport Building in BI ToolsStakeholder Requirement Gathering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLData ModelingReport BuildingDashboard DevelopmentDAXDbtData ValidationData GovernanceMetric DefinitionsData Accuracy
Soft Skills
Clear CommunicationAttention to DetailIndependent WorkConstructive FeedbackTraining and Documentation
Tools & Technologies
Power BITableauLookerSigmaOmniSnowflakeGitWorkday StudentSlateBlackboard
Industry Keywords
Business IntelligenceAnalyticsReportingHigher EducationData PrivacyData QualityMetric CertificationData LineageSemantic LayersSelf-Service Analytics
Tech Stack
Tools & technologiesCloudSnowflakeSQLTableau
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- Bachelor's degree in a related field, or an equivalent combination of education and experience
- 4+ years of experience in business intelligence, analytics, reporting, or a related data role
- Strong SQL skills, including joins, aggregations, CTEs, and troubleshooting data issues
- Experience building reports or dashboards in a BI tool such as Power BI, Tableau, Looker, Sigma, or Omni
- Solid understanding of data modeling concepts such as fact and dimension tables and star schemas
- Demonstrated ability to gather requirements from non-technical stakeholders and turn them into useful reports
- Track record of working independently: managing your own priorities and owning work from request to delivery
- Strong attention to data accuracy and sound judgment around data privacy and access
- Clear written and verbal communication
- Preferred: Power BI experience, including DAX, row-level security, and workspace administration
- Preferred: Experience with dbt or a similar SQL-based transformation tool
- Preferred: Experience with Snowflake or another cloud data warehouse
- Preferred: Familiarity with Git or other version control
- Preferred: Experience building semantic layers or metric definitions for self-service analytics or AI tools
- Preferred: Higher education experience, or familiarity with systems such as Workday Student, Slate, or Blackboard
- Preferred: Exposure to data governance practices such as metric certification, data quality, documentation, or lineage
Benefits
Comp & perks- Work remotely on a modern data stack: Snowflake, dbt, and Power BI
- Real ownership of BI across the University
- Founding member of a new Data Engineering team
- Opportunity to help shape how the University uses data and AI to make decisions