Senior Analytics Engineer
Jefferson Center for Mental Health•Wheat Ridge, CO
•$94,100 - $116,700
About The Position
The Senior Analytics Engineer bridges data engineering, business intelligence, advanced analytics, and emerging AI capabilities. This role designs and develops trusted data products, enables self-service reporting, prepares data for predictive modeling and AI-applications, and partners with stakeholders to turn healthcare data into actionable insights. Applicants must be legally authorized to work in the United States. This position is not eligible for employer-sponsored work authorization now or in the future.
Requirements
- Bachelor's degree or higher in Analytics, Computer Science, Information Systems, or related quantitative field (or equivalent practical experience).
- 5+ years in Analytics Engineering, Data Engineering, or Senior BI/Data Modeling roles.
- 3+ years in healthcare analytics.
- Expert-level SQL, Python, R.
- Dimensional modeling (Kimball), star schemas, enterprise data warehouse architecture, semantic models.
- Experience with Azure Data Factory, Microsoft Fabric, dbt, Snowflake, Databricks, AzureML, REST APIs
- Time-series forecasting, trend analysis, exposure to Automated ML (AutoML), and predictive feature store construction.
- Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude) for code generation, documentation, and pipeline optimization.
Nice To Haves
- Experience with behavioral health, Medicaid, claims, or value-based care preferred.
Responsibilities
- Design, develop, and maintain analytics-ready dimensional models (star schemas, semantic layers) and curated data marts.
- Translate business requirements into scalable, performant data structures that promote consistency across analytics solutions.
- Establish standards and best practices for data modeling, metric definitions, performance tuning, and data governance.
- Curate feature tables and datasets for predictive modeling, time-series forecasting, risk scoring, and population health analysis.
- Prepare and optimize data pipelines and semantic layers for AI-driven experiences, Microsoft Fabric Copilots, and RAG/knowledge retrieval tools.
- Integrate automated ML and forecasting outputs into enterprise data structures for downstream reporting.
- Build user-friendly semantic models to support self-service analytics across Power BI, Microsoft Fabric, and modern cloud platforms.
- Educate and coach business users on report consumption, governance standards, and analytical tools.
- Collaborate with clinical and operational leadership to identify high-value analytics opportunities and translate complex findings into business recommendations.
- Serve as a technical SME for analytics engineering, evaluating emerging cloud and AI technologies to elevate team maturity.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
