Lead Analytics Data Analyst

Fairview Health Services • Minneapolis, MN

426d

About The Position

The Lead Health Information Data Analyst at Fairview Health Services is responsible for leading health information analysis and developing data management processes to support health initiatives. This role involves collaborating with care teams and leadership to design analytic reports, mentoring other analysts, and ensuring the quality of data for enterprise analytics. The analyst will also work on predictive modeling and provide actionable insights to improve clinical and financial performance.

Requirements

• Bachelor's Degree in a Clinical field, Computer Science, Mathematics, Statistics, or other quantitative discipline or equivalent education and experience.
• 7+ years of experience in analysis of healthcare data and management of healthcare information systems.
• Strong collaboration, problem solving, and negotiation skills.
• Ability to handle sensitive and confidential information with discretion and judgment.
• Strategic thinking and ability to 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.

Nice To Haves

• 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.

Responsibilities

• 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.
• Acts as an expert in defining requirements, data validation, and supervision of report development.
• Works directly with Analytics Engineers, Data Modelers, and ETL Developers to create meaningful content for the enterprise.
• Analyzes, visualizes, and models data to provide insight and actionable recommendations.
• Partners with data scientists, operational teams, and researchers to develop and implement algorithms for predictive and prescriptive analytics.
• Applies appropriate tests to analytical results to ensure high quality and accuracy.
• Leads the review process of data sent to external vendors, including understanding business rules for data extracts.
• Researches and reviews benchmarking data for comparison, validation, and utilization.
• Identifies areas for greatest opportunity for intervention.
• Creates concise, board-level written narrative summaries outlining project purpose, methodology, findings, trends, and opportunities.
• Provides technical, analytical, and business guidance to operational team members and other departments.
• Displays expertise with original thinking and creativity, generating suggestions for improving work.

Benefits

• 403(b) matching
• Health insurance
• Dental insurance
• Paid time off

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Ambulatory Health Care Services
• Education Level: Bachelor's degree