Lead BI Analyst Pop Health

How would you like to work in a place where your contributions and ideas are valued? A place where you can serve with compassion, pursue excellence and honor every voice? At Wellstar, our mission is simple, yet powerful: to enhance the health and well-being of every person we serve. We are proud to have become a shining example of what's possible when the brightest professionals dedicate themselves to making a difference in the healthcare industry, and in people's lives.

Day (United States of America)

As a Lead BI Analyst on the Population Health Data Analytics team, you will work in a dynamic Data & Insights organization supporting analytics and reporting. Collaborating closely with business stakeholders, you will help define, design, and deliver business-critical analytics and operational reporting that enhances population health management initiatives.

Primary Responsibilities:

Design, develop, and implement data models and reporting solutions that meet business reporting and analytical objectives for population health management. Serve as the BI expert by collaborating across the enterprise and developing relationships with executives, stakeholders, and analytics teams to understand the current and future data and analytics environment. Lead the adoption of new tools and processes as they are rolled out, ensuring alignment with population health strategies.

Support the long‑term analytics and reporting strategy by establishing best practices and templates for data preparation and visualization specific to population health metrics. Manage the process for code reviews, including data and visualization reviews, fostering team collaboration. Monitor and respond to enterprise reporting requests by applying healthcare expertise along with technical and analytic skills to develop and document data/business analytics requirements.

Recommend ways to improve data reliability, efficiency, and quality in the context of population health analytics. Support advanced analytics including predictive/prescriptive modeling to inform healthcare strategies. Coach and develop other BI analysts to enhance their skills in population health analytics.

• Collaborate with Customers and Data Integration Teams:
  • Serve as the primary liaison between customers and Data Integration (DI) teams to understand data analysis needs, governance requirements, and implementation strategies.
  • Communicate data structure and metric requirements to DI counterparts responsible for data warehouse and model development, ensuring alignment with business objectives.
  • Develop interim data solutions to address immediate business needs while long‑term data models are being built.
• Design and Implement Data Models:
  • Lead the design, development, and implementation of robust data models and reporting solutions that align with the organization’s reporting and analytical objectives.
  • Ensure that data models are scalable, efficient, and meet the evolving needs of the business.
• Identify and Address Data Quality Issues:
  • Proactively identify data quality issues that may impact analyses and reporting; elevate these issues to DI leadership and relevant stakeholders for resolution.
  • Collaborate with teams to implement corrective actions and enhance data integrity.
• Apply Statistical and Analytical Principles:
  • Utilize appropriate statistical and mathematical methodologies in all analyses to ensure accuracy and reliability of insights.
  • Conduct thorough benchmarking and comparative analyses to evaluate performance metrics effectively.
• Understand Data Management Practices:
  • Develop a comprehensive understanding of the data managed and reported by the DI department, including cost accounting, operational benchmarking, quality benchmarking, and patient satisfaction metrics.
  • Stay informed about best practices in data transformation and reporting to enhance overall data management processes.
• Organizational Technology Expert in Data and Analytics:
  • Maintain expertise in technology tools utilized by Wellstar for data presentation and analytics, including SQL, advanced MS Excel, Power BI, Quick Sight, Snowflake, AWS, Azure,…