Analytics Engineer

Role Overview

Pennant is seeking an Analytics Engineer to help build and optimize our enterprise data platform. In this role, you’ll partner with data engineers, analysts, and business stakeholders to develop scalable data models, trusted datasets, and analytics solutions that support reporting, operational excellence, and AI-driven decision-making across senior living, home health, hospice, and home care.

What You Will Do

Design, build, and maintain scalable data warehouse models. Develop and support dbt transformation pipelines and automated testing. Translate business requirements into trusted analytics solutions and reusable data products. Optimize SQL queries and data models for performance and scalability. Support data quality, governance, lineage, and documentation initiatives. Create semantic models and business metrics for reporting and analytics. Partner with technical and non-technical stakeholders to solve complex data challenges.

Why It Might Be a Fit

Lead high-impact healthcare analytics initiatives. Use modern tools including SQL, dbt, Snowflake, and AI-powered analytics. Help shape enterprise data strategy and decision-making. Join a mission-driven organization focused on innovation and growth.

Requirements

• Bachelor’s degree or equivalent experience
• 3+ years of experience in Analytics Engineering, Data Warehousing, Business Intelligence, or Data Analytics
• Advanced SQL skills
• Hands-on experience with dbt
• Experience with dimensional data modeling and data governance
• Snowflake experience preferred
• Healthcare data experience preferred

Benefits

• Competitive Compensation
• Health, dental, vision, life, and disability insurance
• 401(k) plan with generous company match
• Paid time off
• Employee assistance program

Tagged as: Data Analysis, Snowflake, SQL