In this position you will:

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  Use creativity to solve data and analytical problems for the organization.

  
  


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  Visualize complex data into an easy-to-understand format for interpretation by leaders across the organization.

  
  


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  Create appropriate databases from multiple data sources including ERP system(s), electronic medical record, as well as survey, patient-entered data, hospital, and health plan data.

  
  


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  Creative ability to evaluate and assess available relevant data sources (both internal and publicly available data) to bring them together for the given study/project.

  
  


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  Communicate with diverse stakeholders across the organization. Communication and presentation to senior leadership across the organization. Tailor findings and outputs to different stakeholder groups.

  
  


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  Lead on all applicable project teams to assist in defining the necessary outcome data to collect and sources for collecting that data.

  
  


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  Lead in Applying project management methodologies, software, and other tools if appropriate, to support project organization and management.

  
  


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  Lead in study and quality project design in a collaborative relationship with investigators, clinicians, management, and staff. Follow and implement solid research methodologies in study design, evaluation planning, and reproducibility of results.

  
  


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  Act as a consultant and promoter to business leaders on advanced analytics to promote this work across the Providence system.

  
  


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  Provide mentoring to less experienced analysts in their initial analytical projects and efforts.

  
  

Qualifications:

Required qualifications for this position include:

• 5 years experience in data analysis, advanced statistical analysis or predictive analytics 5 years hands-on experience data mining and predictive modeling

Preferred qualifications for this position include:

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  Master's Degree in Analytical Sciences (statistics, finance, public health, epidemiology, hard/soft science) or equivalent educ/experience

  
  


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  Ph.D. in Analytical Sciences (statistics, finance, public health, epidemiology, hard/soft science)

  
  


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  2 years Machine learning, deep learning, neural networks

  
  


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  1 year experience in the Healthcare field