Data Engineer II - Analytics/Information Solutions

Medical University of South Carolina; South Carolina; On-site; USD 85,000 - 120,000; Full time

Job summary

Medical University of South Carolina (MUSC) seeks a Data Engineer II, Analytics to support its academic, research and healthcare missions. You will develop and enhance decision-support reports, dashboards, and analytics tools, enabling informed decisions across departments.

Under supervision, you will lead projects, collaborate with Information Solutions, and mentor colleagues while maintaining high professional standards and customer service.

Qualifications

• Bachelor's degree or equivalent education and/or relevant work experience.
• 2 years of experience required.
• Must possess strong interpersonal, project management, analytical and communication skills.
• Epic Certification or Proficiency preferred.

Responsibilities

• Support analytics program by producing decision support reports, dashboards and analytic tools.
• Lead projects and participate in team meetings; provide input on efficient solutions.
• Coach and transfer knowledge to peers and staff; maintain professional standards and customer service.

Skills

Interpersonal skills

Project management

Analytical thinking

Communication skills

Epic Certification

Education

Bachelor's degree

Job description

Job Description Summary

The Data Engineer II, 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-29

Scheduled Weekly Hours

40

Position Purpose/Duties

The Data Engineer II, 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.

Required Education/Skills/Work Experience:

Minimum Requirements: Bachelor's degree or equivalent education and/or relevant work experience, and 2 years of experience. 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