Sr. Data Analyst

Reporting to division administration, supports General Medicine and Hospital Medicine Divisions in data collection, model building, analysis and reporting to support quality improvement, research projects, strategic planning and specific business performance issues and improvements. Uses data to obtain quantifiable economic benefits to accrue market share, revenue or cost savings (internal monetization). Independently analyzes complex problems and develops data-driven solutions for the divisions. Leads assigned analytical projects from initial question development through analysis, interpretation, and presentation of results. Supports scientific writing and publications/presentation in support of the academic missions for both divisions., Database and Reporting Management

• Acquire data from primary or secondary data sources and maintain databases/data systems.
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
• Guide collection and integration of data from disparate sources (e.g. cost, claims or clinical data).
• Serves as a data and analytics resource to investigators and division leadership, independently recommending appropriate data sources and analytical methods.
• Develops and documents standardized data workflows, validation procedures, and reporting processes for use by multiple stakeholders.

Data Analysis and Interpretation

• Identify, analyze, and interpret trends or patterns in complex data sets.
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
• Determines and carries out appropriate statistical analyses.
• Interprets and presents data descriptions and analysis results, including the explanation of statistical techniques used, the assumptions made and the generalization of results.
• Delve into data to discover discrepancies and patterns.
• Presents findings and recommendations to investigators, clinical management, and division leadership to support operational and strategic decisions.

Scientific Writing

• Documents methods and results through preparation of reports.
• Writes statistical methods sections of manuscripts and abstracts for publications or presentations.
• Present and explain information in an accessible way for academic and non-academic audiences.

Operational and Business

• Work with clinical and division management to prioritize business and information needs.
• Collaborate with department data analyst for operational data management, where appropriate
• Locate and define new process improvement opportunities
• Understand overall health care operations and systems to support data analysis
• Build models that capture a wide range of health care operations, utilization, and associated costs
• Model/Project examples to both increase healthcare quality and reduce costs (e.g. utilization patterns and costs).
• Collaborate with management and internal teams to implement and evaluate improvements.
• Provides technical guidance to colleagues on data analysis, statistical methods, data quality, and reporting practices, as appropriate.
• May supervise a research coordinator

Other duties as assigned.

• Bachelor’s degree and 5 years of relevant experience required
• Or equivalent combination of education and experience
• Masters-level experience in data science or analysis, for healthcare data experience preferred

KNOWLEDGE, SKILLS AND ABILITIES

• Ability to translate complex data into actionable insights required
• Excellent verbal and written communication skills, with the ability to present complex information in a clear and concise manner required
• Strong problem-solving skills with a strategic mindset required
• Experience with data visualization tools such as Tableau, Power BI, or similar required
• Strong understanding of statistical analysis and predictive modeling required

The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job’s compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.