Business Intelligence Specialist

Description Provide advanced analytical support for a
performance strategy and analytics team for a university medical system. Lead complex business intelligence projects
working with department leaders and business owners to enhance clinical and
business processes and support quality and performance improvement. Provide
advanced data analysis and data solutions based on clinical, financial, and
other data sources using analytical tools. Organize analytics teams to collect
information, provide support for clinical dashboards, provide performance improvement-related
information to committees and groups, and provide analytics support for setting
and tracking clinical goals in collaboration with senior executive leaders, and
provide analytics support on projects related to the development and execution
of performance strategies and objectives. Perform quality assurance and
validation on data and deliverables. Provide training for junior team members
in the department, including mentorship and participation in curriculum building.
Salary Range: $98,200 - 214,600 Qualifications Bachelors degree in statistics, data science,
business, engineering or a related quantitative field. 18 months of experience
in job offered, or as a data analyst, data engineer, or a related occupational
title. Demonstrated advanced proficiency in SQL, including window functions and
recursive queries, as well as in Python or R for data science. Demonstrated
experience applying statistical analysis and quantitative methods in healthcare settings. Demonstrated experience in
developing interactive dashboards and creating data visualizations using Power
BI and Tableau. Advanced analytical and quantitative skills demonstrated
through expertise in mathematical and statistical methods, including
multivariate analysis, time series forecasting, hypothesis testing, and
experimental design and optimization techniques. Demonstrated knowledge of
Machine Learning & AI, including supervised and unsupervised learning
(e.g., regression, classification, clustering), natural language processing
(NLP), and ensemble methods (e.g., Random Forest). Demonstrated expertise in business
and strategic analytics with proven ability to perform predictive modeling to
forecast business outcomes and conduct customer segmentation and lifetime value
analyses. Demonstrated experience developing simulation models in a healthcare
setting. Experience overseeing all phases of project management. Demonstrated
experience completing projects that require critical thinking and
problem-solving. Demonstrated experience working with Excel and PowerPoint. Experience
working independently with minimal supervision while meeting deadlines for
multiple projects with shifting priorities. Demonstrated ability to effectively
communicate in oral and written communications.