MU Health Care is looking to improve patient outcomes and organizational performance through advanced data analysis and actionable insights. The role aims to solve business issues and answer critical questions by leveraging data to forecast impacts, model scenarios, and identify trends.
Requirements
- Works with expert proficiency with a variety of tools (ex: SQL, Excel, Power BI, Python, etc.) to extract data, write queries, develop programming logic, run reports, manipulate data, and analyze datasets to meet the needs of the organization.
- 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 addressing impactful business issues or questions via ad hoc and routine reporting.
- Utilizes methods from outside of healthcare; utilizes data broadly using traditional and non-traditional databases.
- Remains current with database and analytics technologies methods and standards, actively participate in professional forums, and ensure compliance with all applicable standards.
- Updates job knowledge by studying state-of-the-art/industry relevant tools, techniques, and equipment.
- Experience in SQL and data reporting and visualization is strongly preferred.
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.
- Serves as an expert resource to provide analytics guidance and support.
- Works in collaboration with stakeholders and subject matter experts to deploy actionable insights that produce value driven outcomes for patients.
- Responsibilities include standardizing and cleaning data, building prediction models, modeling outcomes, and developing metrics for complex data analysis projects that can be multi-disciplinary or interdepartmental.
- Extracts, analyzes, and interprets moderate-to-complex population health data using actionable analytics for providers to improve patient outcomes.
- Performs analysis and modeling techniques on large clinical, financial, and/or operational data sets.
- Develops graphical presentations of health data that can be used to illustrate findings using data visualization tools and provide analytic guidance and technical support to other analysts, managers, clinicians, and executives utilizing data.
Other
- Shift: Monday – Friday, 8:00am – 5:00pm
- 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 from which comparable knowledge, skills and abilities can be acquired.
- One (1) year of experience in decision support, analysis, or quality reporting and/or quality and process improvement via cross-functional teams.
- One (1) year of healthcare experience.
- Participates in educational opportunities, reading professional publications, maintaining personal networks, and participates in professional organizations.
