Analytics Engineer - IT AI and Data Technology

St. Peter's Health Regional Medical Center • Helena, MT

4d

About The Position

The Analytics Engineer turns trusted enterprise data into dashboards, reports, certified datasets, and shared semantic models that clinicians, leaders, and staff use to improve care, operations, and financial performance. The role owns the build side of analytics products for one or more assigned domain(s) such as clinical care, revenue cycle, or operations — designing, developing, certifying, and keeping those products accurate, documented, and reliable in daily production use — and works closely with the teams that operate data pipelines and that steward analytics intake and shared definitions.

Requirements

• Relevant experience in analytics, business intelligence, reporting, or data analysis, or an equivalent combination of education and experience (two or more years for Level I, four or more for Level II, six or more progressive for Level III).
• Working knowledge of SQL and at least one BI or reporting tool (at Level I).
• Proficiency with at least one modern BI platform (Power BI preferred) (at Level II).
• Advanced SQL and semantic layer proficiency (at Level III).
• Experience supporting dashboards, reports, curated datasets, or data validation (at Level I).
• A track record of independently delivering analytics products and managing stakeholder relationships (at Level II).
• Demonstrated healthcare analytics domain expertise, including defining KPIs with business owners (at Level III).
• Foundational understanding of data modeling, data quality, and production support concepts (at Level I).
• Working knowledge with exposure to Python (at Level II).
• Python proficiency with strong command of dataset certification and production support practices (at Level III).
• Clear documentation and communication skills.

Nice To Haves

• Healthcare provider, payer, or health system experience, including Epic Clarity, Caboodle, or Cogito data models.
• Power BI or a comparable modern BI platform.
• Snowflake or a comparable cloud data platform.
• Python, dbt, Git, or similar analytics engineering tools.
• Healthcare data standards such as ICD-10, CPT, HEDIS, and HL7/FHIR.
• Familiarity with HIPAA and healthcare data privacy and security practices.
• Responsible use of AI-enabled productivity tools.
• Microsoft credentials for Power BI or Fabric analytics.
• Epic Cogito, Clarity, or Caboodle certification or accreditation.
• SnowPro or a comparable cloud data platform certification.
• dbt or comparable analytics engineering credentials.
• Healthcare data analytics credentials such as the AHIMA CHDA.

Responsibilities

• Designing, developing, certifying, and maintaining analytics products (dashboards, reports, certified datasets, shared semantic models) for assigned domains.
• Ensuring accuracy, documentation, and reliability of analytics products in daily production use.
• Collaborating with teams that operate data pipelines.
• Working with teams that steward analytics intake and shared definitions.
• Defining KPIs with business owners (at Level III).
• Leading technical design, mentoring others, and presenting clearly to clinical and executive audiences (at Level III).

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level