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Manager- Data Analytics

8+ years | Long Beach, CA

Posted 19 days ago

Responsibilities:

  • 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.

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