The University of Maryland Medical System is looking to become a data-driven and outcomes-oriented organization. This role will provide leadership and technical expertise to the Data and Analytics division to support this imperative by designing, developing, testing, documenting, and maintaining reporting and analytic solutions.
Requirements
- At least five years of business intelligence and analytics experience, including data discovery/visualization applications, hardware/software configuration, databases, and data access/programming tools
- At least five years of hands-on experience with business intelligence and statistical programming/analysis tools (e.g., Business Objects, Tableau, Olik, R, or similar applications)
- proficiency in one computer programming language (e.g., C, C++, Java, Perl, etc.)
- Expertise in the BI fields of database design, data architecture, meta-data modeling, and relational database concepts
- Highly skilled in developing applications using PL/SQL, JavaScript, and HTML
- HL7/ETL process experience preferred
- Prior experience with one or more of the following transaction systems (Epic, McKesson, Lawson) preferred
Responsibilities
- lead and provide technical expertise in the design, development, testing, documentation and maintenance of reporting and analytic solutions
- develop BI solutions using underlying technologies
- Lead and develop insightful visualization with concise storytelling
- Lead and conduct external research and develop exploratory analysis
- Lead key strategic priorities for the organization including, but not limited to population health management, clinical performance and quality and operational performance
- provide leadership and technical expertise to a dynamic team in the organization’s Data and Analytics division
- Expertise in the BI fields of database design, data architecture, meta-data modeling, and relational database concepts
Other
- Under minimal supervision
- Work with internal and external customers to understand and analyze business challenges
- Ability to decipher how best to engage in priorities by soliciting and leveraging the entire breadth of expertise of the Enterprise Data and Analytics team, including understanding how the BI team can best contribute to the engagement
- Demonstrate a high level of critical thinking and analytical skills
- Bachelor’s Degree in mathematics, computer science, physics, information systems, actuarial science or related computational field. Master’s Degree preferred.
- Prior experience in healthcare and with clinical claims data preferred
