Role Overview
Lead and manage analytics engineers, setting priorities, guiding design patterns, and defining delivery expectations. Remain hands-on in building and implementing analytics solutions using Databricks, Power BI, SQL, and Python-based development.
What You Will Do
Translate business requirements into scalable data products, establish and enforce standards for data quality, validation, performance, reliability, and governance across analytics deliverables. Oversee predictive and prescriptive analytics initiatives.
Why It Might Be a Fit
Deep expertise in SQL and Python proficiency for data transformation, analytics, and application development. Strong experience with data visualization and ability to translate complex datasets into actionable insights for technical and non-technical audiences.
Requirements
- Deep expertise in SQL (advanced querying, optimization, and data modeling)
- Python proficiency for data transformation, analytics, and application development
- 5+ years of data analytics experience
- 2+ years of leadership experience
- 3+ years in Healthcare Revenue Cycle Management or payor analytics
- Bachelor’s degree in Data Analytics, Statistics, Computer Science, Business, or a healthcare-related field
Benefits
- Competitive Benefits package
- Compensation Reviews
- Career Growth Opportunities
- Flexible Remote Schedules
- Generous PTO Plans
- Paid Holidays
- Health & wellness coverage options
- 401k benefits
- Family planning and telehealth
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