Description
General Summary of Position
The Data Analytics Manager supports the business operations of the central verification, medical staff office, and continuing professional education functions at a system level in alignment with the organization's strategic priorities. This position manages relationships with and communicates data insights to leaders and key stakeholders spanning the various MedStar Health entities to gain operational efficiency, strengthen data-driven decision making, and drive clinical quality and business outcomes. The Data Analytics Manager designs, codes, tests, and maintains relational databases; develops and maintains data analysis, measurement, and monitoring routines within operational domains including but not limited to credentialing and privileging throughput, workforce efficiency, technology impact, and continuing education content and usage analysis.
Primary Duties and Responsibilities
Minimum Qualifications
Education
- Bachelor's degree In the healthcare field, analytics, biostatistics, informatics, computer science, business, or engineering. required or
- Master's degree MBA or in a related field preferred
- One year of relevant education may be substituted for one year of required work experience.
Experience
- 3-4 years In data collection, management, analysis, and interpretation. Experience supporting customer groups through data analysis, report creation, and graphical presentation. Preference for Tableau Desktop experience. Experience with database development and maintenance is preferred. Experience with metrics implementation, performance benchmarking, and data/metrics governance. Experience with mathematical process modeling and simulation preferred. Experience with operational and/or clinical data in healthcare field and knowledge of the healthcare industry highly preferred. required
- One year of relevant professional-level work experience may be substituted for one year of required education.
Knowledge, Skills, and Abilities
- Critical thinking, reasoning and problem solving. Demonstrated ability to understand business need(s) and conduct appropriate analysis to translate data into actionable insights. Ability to write complex SQL queries and demonstrated competence developing complex stored procedures, functions, triggers, and other database objects. Demonstrated proficiency with developing dashboards from large databases/data warehouses. Ability to translate concepts into tangible ideas and informative data deliverables. Excellent interpersonal skills and strong verbal and written communication. Demonstrated proficiency with Microsoft Office applications, including Word, Excel, Outlook, Visio and PowerPoint. Demonstrated proficiency with business intelligence software (Tableau Desktop preferred). Experience in the application of advanced statistical techniques and concepts (regression, properties of distributions, statistical hypothesis tests and proper usage, etc.). Knowledge of Python is preferred. Excellent resilience, comfort with ambiguity and bias toward results.
This position has a hiring range of $118,331 - $198,348
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