Senior Analytics Engineer

Jefferson Center for Mental Health; Wheat Ridge (CO); On-site; USD 94,000 - 117,000; Full time

Job summary

Jefferson Center for Mental Health in Wheat Ridge, Colorado is seeking a Senior Analytics Engineer to design and deliver trusted data products, enable self-service reporting, and prepare data for predictive analytics and AI initiatives.

You will partner with clinical and operations leaders to translate healthcare data into actionable insights, build analytics-ready models, and guide the adoption of Azure, Fabric, and modern data platforms.

Qualifications

• Bachelor's degree or higher in Analytics, Computer Science, Information Systems, or related quantitative field.
• 5+ years in Analytics Engineering, Data Engineering, or Senior BI/Data Modeling roles.
• 3+ years in healthcare analytics; Medicaid, claims, or value-based care experience preferred.

Responsibilities

• Design, develop, and maintain analytics-ready dimensional models and data marts.
• Translate business requirements into scalable, performant data structures and semantic models.
• Collaborate with clinical and operational leadership to turn healthcare data into actionable insights.

Skills

SQL

Python

R

Dimensional modeling

Star schemas

Azure Data Factory

Snowflake

Databricks

AzureML

REST APIs

AI tooling

Education

Bachelor's degree or higher

Tools

Azure Data Factory

Microsoft Fabric

dbt

Snowflake

Databricks

AzureML

REST APIs

Job description

At Jefferson Center, it is our policy and our mission to be inclusive and mindful of the diversity of everyone who comes through our doors. We are passionate about building a community where mental health matters and equitable care is accessible to all races, ethnicities, abilities, socioeconomic statuses, ages, sexual orientations, gender expressions, religions, cultures, and languages.

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.

Essential Duties

Analytics Engineering & Data Architecture

• 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.

Advanced Analytics & AI Enablement

• 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.

Self-Service Analytics

• 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.

Business Partnership & Technical Leadership

• 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.

Qualifications & Experience

Education

Bachelor's degree or higher in Analytics, Computer Science, Information Systems, or related quantitative field (or equivalent practical experience).

Work Experience

• 5+ years in Analytics Engineering, Data Engineering, or Senior BI/Data Modeling roles.
• 3+ years in healthcare analytics. Experience with behavioral health, Medicaid, claims, or value-based care preferred.

Core Technical Skills

• 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.

Note: Staff are held accountable for all duties of this job. This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job.

Salary Range

$94,100 to $116,700*

• Jefferson Center pay is based on various factors including education level, licensure level, and years of relative experience.
• The salary listed above is based on 1.0 FTE (40 hours per week).

Application Deadline

This position will remain posted until filled.

Equal Opportunity Employer

This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.