Business Intelligence Analyst I, II, or Senior

Essentia Health; Duluth (MN); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Essentia Health is seeking a Business Intelligence Analyst II to independently develop dashboards, reports, extracts, and analytic products across enterprise applications. This role applies data modeling, visualization, data quality, and governance practices to deliver analytics at scale.

You will collaborate with analytics, IT, and clinical teams to translate business questions into technical designs, validate data quality, and support decision‑making with actionable insights.

Qualifications

• Translates business questions into technical requirements.
• Develops dashboards, reports, and semantic models.
• Experience with data governance and analytics standards.

Responsibilities

• Lead discovery sessions with clinical, operational, financial, and admin stakeholders.
• Translate requirements into reporting specifications and data models.
• Develop and support dashboards, reports, and analytic applications.

Skills

Power BI

Tableau

SQL

Data modeling

Education

Bachelor's degree

Tools

Cogito Suite

Clarity/Caboodle

Job description

Job Description:

The Business Intelligence Analyst II serves as an experienced reporting and analytics resource for enterprise applications. This position independently develops dashboards, reports, extracts, analytic products, and semantic models. The Business Intelligence Analyst II applies sound data modeling, visualization, data quality, and documentation practices and contributes to analytics standards and governance. This role may serve as a subject matter expert for specific applications, data domains, business processes, or reporting platforms.

Education Qualifications:

The Business Intelligence Analyst II is skilled at translating business questions into technical requirements and organizing quantitative information to illuminate trends, support decision‑making, and create actionable data.

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 optimisation; and deployment procedures.

• Use and contribute to governed enterprise semantic models, certified datasets, shared metrics, and standardised 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 organisational 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 visualisations.
• 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.

Licensure/Certification Qualifications:

Required Experience:

5 years experience in data development, data analysis, report programming, Cogito Suite. Includes a foundational understanding of relational data models or application toolset foundations.

Prior experience with business intelligence tools. Examples include, but are not limited to: Epic Cogito Suite, Reporting Workbench, Radar Dashboards, Registries, Healthy Planet, Slicer/Dicer, Clarity/Caboodle Data Model, Crystal Reports, WEBi, SQL, Tableau, Qlik, Python, R or other analytic toolsets.

Bachelor’s degree in Business, Computer Science, Management Information Systems, Mathematics, Statistics or technology/healthcare related field.