Senior Analytics Engineer — AI-Driven Healthcare Data

Jefferson Center for Mental Health; Arkansas; On-site; USD 94,000 - 117,000; Full time

Job summary

Jefferson Center for Mental Health is seeking a Senior Analytics Engineer to bridge data engineering, BI, analytics and AI capabilities. You will design analytics-ready data models, enable self-service reporting in Power BI and Fabric, and partner with stakeholders to turn healthcare data into actionable insights.

The role requires 5+ years in analytics/data engineering and 3+ years in healthcare analytics. Bachelor's degree or higher is required.

Qualifications

• 5+ years in Analytics Engineering, Data Engineering, or Senior BI/Data Modeling roles.
• 3+ years in healthcare analytics (behavioral health, Medicaid, claims or value-based care preferred).
• Bachelor's degree or higher in Analytics, CS, IS or related quantitative field.

Responsibilities

• Design, develop, and maintain analytics-ready dimensional models and curated data marts.
• Translate business requirements into scalable data structures for analytics solutions.
• Build self-service analytics supporting Power BI, Fabric, and cloud platforms.
• Collaborate with clinical/operational leadership to identify analytics opportunities.
• Lead with standards for data modeling, metrics, governance, and performance.

Skills

SQL

Python

R

Dimensional modeling

Time-series forecasting

AI tooling

Education

Bachelor's degree or higher

Tools

Azure Data Factory

Microsoft Fabric

dbt

Snowflake

Databricks

AzureML

REST APIs

Job description

Jefferson Center for Mental Health is seeking a Senior Analytics Engineer to bridge data engineering, BI, analytics and AI capabilities. You will design analytics-ready data models, enable self-service reporting in Power BI and Fabric, and partner with stakeholders to turn healthcare data into actionable insights.

The role requires 5+ years in analytics/data engineering and 3+ years in healthcare analytics. Bachelor's degree or higher is required.