• Interact with various departments including, but not limited to, IT; Finance; Claims, Call Centers; and UM.
• Manages a team of Data Analysts and Technical Analyst onsite and offsite.
• Provides day-to-day technical management and mentoring as required of the department staff.
• Coordinate and oversee report generation by team members and distribution schedule
• To ensure timely delivery to customers, ensuring the highest quality on every project/request.
• Responsible for error resolution, follow up and performance metrics monitoring.
• Provide peer review of critical reports and guidance on programming/logic improvements.
• Provide guidance to team members in their analysis of data sets and trends using statistical tools and techniques 
• Participate in and guide the design of large scale predictive and statistical models to predict future trends in cost, utilization
• Guide team members on appropriate writing skills for executive summaries tailored to the audience.
• Apply process improvements for the team's methods of collecting and documenting report/programming
• Requirements from requestors to ensure appropriate creation of reports and analyses while reducing rework.
• Manage the creation of comprehensive workflows for the production and distribution of assigned reports.

Required Experience:

• Progressive responsibilities in Data, Finance or Systems Analysis in a healthcare environment.
• 8+ years of progressive responsibilities in Data, Finance or Systems Analysis in a healthcare environment.
• 3+ years of experience with Spark, Python, Microsoft Power BI, Tableau (or equivalent).
• 3+ years of experience with SQL Server, SSIS, SSAS, SSRS.
• Big Data experience with Hadoop, Spark, Scala, HIVE, Cloudera and or BI in Cloud.
• Azure Data Factory and Azure Analysis Services.

Preferred Experience:

• Medical Economics and strong knowledge of Performance Indicators.
•  Proactively identify and investigate complex suspect areas regarding medical cost issues.
• Apply investigative skill and analytical methods to look behind the numbers, assess business impacts.
• Make recommendations through the use of healthcare analytics, predictive modeling, etc.
• Analysis and forecasting of trends in medical costs to provide analytic support for finance, pricing, and actuarial functions
•  Multiple data systems and models.
• BI tools – SSIS, SSRS, ProClarity, MEd Insight, etc.
• Advanced Analytics, R Programming and Machine learning experience a plus.