Analytics Engineer – IT AI and Data Technology

SPH Consulting Group

. Turn trusted enterprise data into dashboards, reports, certified datasets, and shared semantic models.

Posted 9/17/2026full-timeHelena • Montana • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics product development, including dashboard creation, data validation, and stakeholder management, with a strong focus on healthcare analytics and data quality. Proficient in SQL, Python, and modern BI platforms, ensuring reliable and documented analytics solutions.

Highest-signal resume keywords

SQL ProficiencyHealthcare Analytics Domain ExpertisePower BI or Comparable BI PlatformPython ProficiencyData Modeling and Quality

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData AnalysisData ValidationData ModelingDashboard DevelopmentReportingAnalytics Product DevelopmentSemantic Layer ProficiencyData QualityProduction Support

Soft Skills

Clear Documentation SkillsCommunication Skills

Tools & Technologies

Power BISnowflakeEpic ClarityCaboodleCogitoDbtGitAI-Enabled Productivity Tools

Certifications & Qualifications

Microsoft Power BI CredentialsEpic Cogito CertificationSnowPro CertificationDbt CredentialsAHIMA CHDA

Industry Keywords

Healthcare Data StandardsICD-10CPTHEDISHL7/FHIRHIPAAHealthcare ProviderHealthcare PayerHealth System

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Turn trusted enterprise data into dashboards, reports, certified datasets, and shared semantic models.
Build analytics products for assigned domains such as clinical care, revenue cycle, or operations.
Design, develop, certify, and maintain analytics products for accurate, documented, and reliable daily production use.
Work closely with teams operating data pipelines and stewarding analytics intake and shared definitions.
Support clinicians, leaders, and staff in improving care, operations, and financial performance.

Requirements

What you’ll need

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 at Level II; advanced SQL and semantic layer proficiency at Level III.
Experience supporting dashboards, reports, curated datasets, or data validation at Level I; independently delivering these and managing stakeholder relationships at Level II; demonstrated healthcare analytics domain expertise 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 and strong dataset certification and production support practices at Level III.
Clear documentation and communication skills at every level.
Preferred healthcare provider, payer, or health system experience, including Epic Clarity, Caboodle, or Cogito data models.
Preferred Power BI or comparable modern BI platform; Snowflake or comparable cloud data platform.
Preferred 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.
Bachelor's degree in a related field is preferred.
In the absence of a bachelor's degree, an associate degree or relevant professional certifications with additional years of relevant experience may be accepted.
A master's degree in a related field may substitute for a portion of the required experience.
Equivalent combinations of education, certification, and directly relevant experience will be considered.
No license required.
Preferred certifications include Microsoft credentials for Power BI or Fabric analytics; Epic Cogito, Clarity, or Caboodle certification or accreditation; SnowPro or comparable cloud data platform certification; dbt or comparable analytics engineering credentials; or AHIMA CHDA.