Lead Analytics Data Analyst

The Lead Health Information Data Analyst is responsible for leading the discipline of health information analysis as well as the review, assessment, validation and development of data management processes to support Fairview’s health initiatives. This role will work in a team environment to lead design, development, and execution of data transformation into actionable information and automated external data submission processes. This role is key to supporting system and network level clinical and financial performance. The Analyst will create and maintain state-of-the-art information assets using but not limited to, requirements gathering, benchmarking, trending, opportunity analysis and predictive modeling.

This position is eligible for benefits!

Some of the benefits we offer at Fairview include medical insurance - as low as $0, dental insurance - also a $0 option, PTO (24 days per year starting), and a 403B with up to a 6% employer match; visit www.fairview.org/benefits to learn more and get all the details.

• Leads discussions with care teams and leadership to design analytic reports using electronic medical record data, claims, and other data sources.
• Mentors other analysts in the principles and technologies used by the Data Reporting and Analytics organization to support team member proficiency and development.
• Acts as an expert in defining requirements, data validation, and supervision of report development to support enterprise analytics, statistics, predictive modeling and external data submissions.
• Work directly and independently with the Analytics Engineers, Data Modelers and/or ETL Developers to create meaningful and actionable content for the enterprise.
• Analyzes, visualizes and models data to provide insight and actionable recommendations independently.
• Partner with data scientists, operational teams and researchers to develop and implement algorithms for performing predictive and prescriptive analytics.
• Applies appropriate tests to analytical results to provide high quality and accurate results.
• Leads the review process of data sent to external vendors by Fairview. Includes working directly with the external vendors to understand the business rules applicable to the data extracts.
• Utilizes expertise when researching and reviewing benchmarking data for comparison, validation, and utilization. Identifies areas for greatest opportunity for intervention.
• Creates concise, board-level written narrative summaries that outline project purpose, methodology, summary of findings, trends of interest, and opportunities for consideration.
• Provides technical, analytical, and business guidance and expertise to operational team members and other departments with Fairview.
• Displays expertise with original thinking and creativity. Meets challenges with resourcefulness. Generates suggestions for improving work. Develops innovative approaches and ideas. Presents ideas and information in a manner that gets others' attention.

Required Qualifications

· Bachelor's Degree in a Clinical field, Computer Science, Mathematics, Statistics, or other quantitative discipline or combination Baof equivalent education and experience.

· 7 years of experience in analysis of healthcare data and management of healthcare information systems.

· Results-oriented, strong collaboration, problem solving and negotiation skills.

· Handles sensitive and confidential information, regularly exercises discretion and judgment.

· Ability to think strategically, analyze issues and develop recommendations.

· Database query experience is required.

· Strong quantitative and analytic skills.

· Ability to think creatively and work collaboratively to address problems.

· Ability to write and present reports and presentations.

Preferred Qualifications

· Bachelor’s or Master’s Degree in a Clinical field, Computer Science, Mathematics, Statistics, or other quantitative discipline preferred.

· Previous experience using Epic's Data Warehouse, Data Model, or Application.

· Experience in a healthcare setting.

Experience with SQL