MU Health Care is seeking to solve the problem of improving patient outcomes through the development and analysis of moderate-to-complex health care data, enabling system management to make informed decisions and drive value-driven outcomes.
Requirements
- Bachelor’s degree in health administration, public health, computer science, statistics, business administration, data science, or a related field, or an equivalent combination of education and experience.
- Experience in SQL and data reporting and visualization is strongly preferred.
- Business intelligence experience (i.e. Tableau, Business Objects, Cognos, Cerner HealtheIntent, Python, and/or R).
- Works with expert proficiency with a variety of tools (ex: SQL, Excel, Power BI, Python, etc.).
- Utilizes methods from outside of healthcare; utilizes data broadly using traditional and non-traditional databases.
- Forecasts the impact of system changes to establish targets and mitigate business risk.
- Remains current with database and analytics technologies methods and standards.
Responsibilities
- Develops, prepares, interprets, and monitors moderate-to-complex health care analyses, data projections, data models, and reports used by system management in decision-making.
- Standardizes and cleans data, builds prediction models, models outcomes, and develops metrics for complex data analysis projects.
- Extracts, analyzes, and interprets moderate-to-complex population health data using actionable analytics for providers to improve patient outcomes.
- Develops graphical presentations of health data using data visualization tools and provides analytic guidance and technical support.
- Performs basic to advanced analyses, ETL processes with Excel, SQL, Python, R, or other programming languages.
- Utilizes various data analysis and business intelligence tools such as SQL, Python, R, Power BI, Tableau, Excel to produce reports and perform meaningful quantitative or qualitative analyses.
- Models and frames scenarios that are meaningful and impact critical business processes and/or decisions.
Other
- Bachelor’s degree in health administration, public health, computer science, statistics, business administration, data science, or a related field, or an equivalent combination of education and experience.
- Master’s degree in health administration, business administration, data science, or a related field (preferred).
- One (1) year of experience in decision support, analysis, or quality reporting and/or quality and process improvement via cross-functional teams (preferred).
- One (1) year of healthcare experience (preferred).
- Additional license/certification requirements as determined by the hiring department.
