Data Engineer II - Analytics/Information Solutions
At a glance
Mid-level Data Engineering role at Musc. Remote, United States · full-time · no salary stated · we estimate $112,500–$160,000 across the United States.
Musc has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Resolve difficult technical problems and build reports, dashboards, and other analytics tools for operational decisions
- Plan communications and training that help teams adapt to changes and reduce disruption
- Lead project work, contribute in team meetings, and suggest ways to make processes more efficient
- Coach peers and staff while maintaining strong service and professional standards
What you bring
- A bachelor’s degree or equivalent education or relevant work experience, plus at least two years of experience
- Strong interpersonal, project coordination, analytical, and communication abilities
- Expert ability to frame analytical questions, identify stakeholders, prepare data, choose tools, and deliver useful findings
Who this fits
This role suits a mid-level analytics professional who can lead projects and support decision-making with reports, dashboards, and other analytic tools. The position is remote in the United States and is scheduled for forty hours per week. Epic certification or proficiency is preferred.
From the employer
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
EmployeeWorker Sub-Type
RegularCost Center
CC002338 SYS - IS Business Analytics & Epic AnalyticsPay Rate Type
SalaryPay Grade
Health-29Scheduled Weekly Hours
40Work Shift
Job Description
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.
Additional Job Description
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
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