Data Engineer III - Analytics/Information Solutions

Remote Full-time
Job Description Summary
The Data Engineer III, Analytics reports to the Manager of Analytics in support of MUSC’s academic, research and healthcare missions. Under general supervision, the Data Engineer III provides expertise in evaluating and resolving complex technical issues, demonstrates strong analytical and communication skills to maximize the benefit of Information Solutions services. Generates appropriate communication, process and educational plans to identify and remove obstacles to change and mitigating the disruption of change. Serves as the subject matter expert in all areas of the analytics program supporting decision making, strategy, performance improvement, and other key operational goals through valid, relevant, and quality decision support reports, dashboards, and other analytic tools. Takes a lead role in projects; participates in team and project meetings, and provides input on intelligent solutions to improve efficiency. Coaches and transfers knowledge to peers and staff, maintains high professional standards, and exhibits excellent customer service skills while performing assigned tasks.

Entity
Medical University Hospital Authority (MUHA)

Worker Type
Employee

Worker Sub-Type​
Regular

Cost Center
CC002338 SYS - IS Business Analytics & Epic Analytics

Pay Rate Type
Salary

Pay Grade
Health-31

Scheduled Weekly Hours
40

Work Shift

Job Description

Position Purpose/Duties

The Data Engineer III, Analytics reports to the Manager of Analytics in support of MUSC’s academic, research and healthcare missions. Under general supervision, the Data Engineer III provides expertise in evaluating and resolving complex technical issues, demonstrates strong analytical and communication skills to maximize the benefit of Information Solutions services. Generates appropriate communication, process and educational plans to identify and remove obstacles to change and mitigating the disruption of change. Serves as the subject matter expert in all areas of the analytics program supporting decision making, strategy, performance improvement, and other key operational goals through valid, relevant, and quality decision support reports, dashboards, and other analytic tools. Takes a lead role in projects; participates in team and project meetings, and provides input on intelligent solutions to improve efficiency. Coaches and transfers knowledge to peers and staff, maintains high professional standards, and exhibits excellent customer service skills while performing assigned tasks.

Additional Job Description

Required Education/Skills/Work Experience:

A bachelor’s degree and five years directly related experience; or a high school diploma and seven years directly related experience or a Masters’ degree and 3 years directly related experience required. Must possess strong interpersonal, project management, analytical and communication skills. Must be able to demonstrate expert skills in framing analytic problems, identifying key stakeholders, acquiring and preparing data, selecting and applying analytic tools, and producing actionable results. Epic Certification or Proficiency preferred.

If you like working with energetic enthusiastic individuals, you will enjoy your career with us!

The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.

Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: http://www.uscis.gov/e-verify/employees

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