Senior Open Source Intelligence Jobs in Minnesota

Key Responsibilities:

• Lead discovery sessions and requirements-gathering activities with clinical, operational, financial, administrative, and technical stakeholders.

• Translate complex requirements into reporting specifications, technical designs, data models, semantic models, and analytics solutions.

• Independently develop and support dashboards, reports, extracts, scorecards, and analytic applications.

• Design, develop, and maintain Tableau or Power BI reports and semantic models, or Epic analytics reports; relationships, hierarchies, perspectives, and display folders; reusable DAX measures; Helps with administration of workspace permissions; performance optimization; and deployment procedures.

• Use and contribute to governed enterprise semantic models, certified datasets, shared metrics, and standardized business definitions.

• Develop intermediate to advanced SQL queries and perform data profiling, reconciliation, and root-cause analysis.

• Collaborate with data engineering, analytics engineering, application support, and enterprise architecture teams to identify source systems, data elements, integration requirements, and data quality issues.

• Assess the quality, completeness, timeliness, and usability of data used in reporting and analytics products.

• Create and maintain definitions for metrics, KPIs, dimensions, filters, business rules, and calculated measures.

• Develop and support conversational analytics experiences using approved tools such as Power BI Q&A, Microsoft Copilot, natural-language interfaces, or other internal comparable capabilities.

• Validate AI-generated or natural-language responses for accuracy, context, security, and appropriate interpretation.

• Recommend appropriate reporting and analytics tools based on user needs, data characteristics, performance, security, usability, and maintainability.

• Create technical documentation, report specifications, data dictionaries, lineage documentation, support procedures, and end-user materials.

• Participate in analytics governance, data stewardship, standards, and community-of-practice activities.

• Provide peer review, coaching, and technical guidance to Business Intelligence Analyst I staff.

• Lead testing, implementation, release, and post-production support for assigned analytics products.

• Troubleshoot complex reporting, data, access, performance, and application-related issues.

• Follow organizational policies related to privacy, security, HIPAA, data governance, accessibility, and responsible use of artificial intelligence.

• Preferred Qualifications
• Experience with Power BI semantic models, DAX, Power Query, deployment pipelines, workspaces, gateways, row-level security, and performance tuning.
• Experience with Microsoft Fabric, Azure Analysis Services, Power BI Premium, or related analytics platforms.
• Experience with Epic Clarity, Caboodle, Cogito Suite, Reporting Workbench, Radar Dashboards, Registries, Healthy Planet, or Slicer/Dicer.
• Experience developing or managing enterprise metric definitions, data dictionaries, business glossaries, or data lineage.
• Experience implementing conversational analytics or natural-language query capabilities.
• Experience with data quality frameworks, automated testing, metadata management, or analytics engineering practices.
• Experience with version control, Agile delivery, continuous improvement, or release management.
• Healthcare analytics experience in clinical, operational, financial, quality, population health, or revenue cycle domains.
• Epic reporting or analytics certification.
• Experience mentoring or providing technical leadership to other analysts.
• Demonstrated experience developing reports, dashboards, extracts, or analytics products using one or more enterprise business intelligence platforms.
• Proficiency with SQL and relational data concepts.
• Demonstrated experience with semantic models, or governed reporting datasets.
• Experience with Tableau, Power BI or a comparable enterprise analytics platform.
• Experience creating calculations, measures, filters, dashboards, and visualizations.
• Experience translating stakeholder requirements into technical designs and production-ready analytics solutions.
• Experience with data validation, troubleshooting, performance analysis, and root-cause investigation.
• Strong written, verbal, presentation, and stakeholder-management skills.
• Ability to work independently and collaboratively across technical, clinical, operational, and administrative teams.
• Working knowledge of data privacy, security, HIPAA, analytics governance, and responsible use of AI-enabled analytics.