- Job Detail
- Lead the Analytics Engineering function in the development and maintenance of scalable, trusted data assets that power enterprise reporting, insights, and operational decision-making across Revenue Cycle Management and Payor Contracting.
- Oversee data infrastructure, transformation logic, and the development of predictive models, while managing and supporting a team of analytics engineers and remaining engaged in hands-on solution development and implementation.
- Partner closely with business and technical stakeholders to define standards and translate requirements into durable, well-governed analytics-ready data solutions, and identify opportunities to optimize team processes and broader departmental use of data.
- This role serves as a critical bridge between raw data sources and downstream analytics, ensuring data consistency, performance, and usability across platforms.
Strong experience in analytics engineering, building and maintaining reliable, analytics-ready data products in modern cloud-based environments.
-
Deep proficiency in SQL (required) and Python (preferred), with experience in platforms such as Azure Databricks and supporting semantic/visualization layers, ideally Microsoft Fabric and Power BI.
-
Background in healthcare revenue cycle management, healthcare payor analytics, or a closely related healthcare financial domain.
-
Proven hands-on technical leadership, including setting standards, reviewing work, mentoring team members, and supporting predictive or advanced analytics initiatives.
-
Solid foundation in data quality, validation, and governance, with the ability to collaborate across functions, manage competing priorities, and thrive in a fast-paced, evolving environment.
- Competitive Benefits package – Eligibility starts the month after hire, with tiered options to choose from.
- Compensation Reviews, Career Growth Opportunities
- Flexible Remote Schedules Generous PTO Plans and Paid Holidays
- Proudly Certified as a Great Place to Work for Five Consecutive Years