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Carnegie Mellon University
Carnegie Mellon University Overview
Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions.
With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!
Division of Enrollment Management
The Division of Enrollment Management (EM) comprises the Office of Admission, the HUB, University Registrar’s Office, Student Accounts, Student Financial Aid, Enrollment Systems, Marketing & Communication, Office of International Education, and EM Research & Analytics.
All of these areas work together to provide students, families and the campus community with student support and administrative services from the time of recruitment, to enrollment and all the way through graduation.
We are seeking a Data Analyst to join our dynamic team. Reporting to the Director of EM Research & Analytics, the Data Analyst will be responsible for defining and managing the implementation of various data, reporting and analytical products and efforts. The Data Analyst ensures the successful completion of reporting and analytical projects and provides status updates to relevant stakeholders along the way.
Experience Required
Primary responsibilities for this role include advanced query writing, data model design, maintaining documentation, producing intuitive self-service reports and/or data visualizations, and coaching associate data analysts.
The successful candidate must understand and evaluate compliance with internal data governance as well as relevant regulations including but not limited to Family Educational Rights & Privacy Act (FERPA), General Data Protection Regulation (GDPR), and Gramm-Leach-Bliley Act (GLBA). This role will also develop and implement technical documentation that will enhance the data maturity of the division and the university.
Desired Qualities
Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.
Pre-employment Background Check: Successful pre-employment background check
Sponsorship: Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over the sponsorship of an employment visa for this opportunity. Carnegie Mellon is not a qualifying employer for the STEM OPT benefit: only the 12-month OPT may be used to work at Carnegie Mellon.
Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
For a comprehensive overview of the benefits available, explore our Benefits page.
Employment Philosophy
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring.
Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.
Call to Action
Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
Location
Pittsburgh, PA
Data Analysis
Position Type
Staff – Regular
Full Time/Part time
Full time
Pay Basis
Salary
More Information
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