Data Visualization and Business Intelligence Analyst
University of Michigan - Ann Arbor
Application
Details
Posted: 22-Jan-25
Location: Ann Arbor, Michigan
Internal Number: 259012
A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.
The Department of Pediatrics Health Metrics and Learning Health Systems Program is seeking a skilled and motivated Data Visualization and Business Intelligence Analyst to join a team that is passionate about using data-driven insights to improve the health and well-being of children. This individual gathers, analyzes and interprets data from a variety of administrative and clinical databases to contribute to operational, clinical care, quality improvement, and research initiatives for the Department of Pediatrics. The analyst will have expertise in the creation of data sources and data dashboards to support faculty-led initiatives focused on clinical transformation, quality improvement, and measurement of pediatric health outcomes, as well as Departmental enterprise reporting of finances, faculty productivity, and other KPIs to the Departmental Administrator and Chair. This position will report to Dr. Joyce Lee, Associate Chair for Health Metrics and Learning Health Systems for the Department of Pediatrics.
Database Management and Reporting
Collaborate with healthcare business stakeholders (physicians, administrators, project managers, staff) to understand their data needs and translate them into effective visualizations and dashboards
Create and maintain enterprise-level data sources, Tableau dashboards and workbooks that are user-friendly, visually appealing, and that effectively communicate complex data insights and support the translation these insights into clear, actionable recommendations for business stakeholders
Connect to various enterprise data sources, including databases, spreadsheets, and cloud platforms, to extract and transform data for the purposes of database creation, analysis, visualization, and action
Ensure optimal dashboard performance and user experience and apply best practices in data visualization and dashboard design to ensure clarity, accuracy, and accessibility
Data Governance
Perform data quality checks and validation to ensure the integrity of data used in visualizations
Ensure proper handling of data and data governance with all data sources
Create and maintain comprehensive documentation of measurement methods and algorithms, data sources, and reporting processes
Work collaboratively to support physician and staff training of Tableau and data analysis best practices
Data Science
Utilize R and Python to enhance data analysis and visualization capabilities, including data cleaning, statistical modeling, and predictive analytics
Collaborate on novel opportunities to develop and implement predictive models and machine learning algorithms to improve patient outcomes and optimize healthcare delivery
Bachelors Degree (quantitative field like biostatistics, public health, computer science, economics, engineering, informatics) with an advanced degree preferred
Exceptional SQL skills, including the ability to write complex, optimized queries
Strong understanding of data modeling and dimensional design principles
Experience in dashboard design and data visualization best practices
Excellent problem-solving and critical thinking abilities
Experience with version control and documentation practices
Ability to gain certification in querying analytic EHR databases (Clarity, Caboodle) through training
Experience with Data Warehouse and BI systems
Senior
5+ years of experience with Tableau, including the ability to create and maintain interactive dashboards, data flows and Tableau server/online administration
Intermediate
3 to 5 years of experience with Tableau, including the ability to create and maintain interactive dashboards, data flows and Tableau server/online administration
Masters Degree (biostatistics, public health, computer science, economics, engineering, informatics) Tableau Desktop Certified Professional certification
Clarity Certification
Experience with Python or R for advanced data manipulation and analysis
This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.
Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.
Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.
The University of Michigan is an equal opportunity/affirmative action employer.
A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.