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Job ID: 138697

Statistical Analyst
North Carolina A & T State University


Date Posted Feb. 17, 2020
Title Statistical Analyst
University North Carolina A & T State University
Greensboro, NC, United States
Department Institutional Research
Application Deadline Open until filled
Position Start Date Available immediately
 
 
  • Professional Staff
  • Research/Technical/Laboratory
 
 

The primary purpose of this position is to be responsible for delivering data, analysis, and information to support strategic decisions. He/she leads and determines the logical flow and execution of a project. Duties include discovering knowledge through data analysis, reporting, and data management and validation, using various software packages. In addition, ability to communicate effectively, work independently as well as in a team with a results-oriented approach, create and maintain collegial working relationships with customers and co-workers, contribute a positive and inclusive work environment, and serve as a productive team member is expected.

Primary Function of Organizational Unit
The Office of Strategic Planning and Institutional Effectiveness (OSPIE) fosters student success and the University’s effectiveness by facilitating evidence-based decision making. OSPIE serves as the primary source of official data reported from all major administrative systems across the University, conducts objective research and analysis for decision makers, prepared reports that improve understanding of institutional and program performance, builds data collections, facilitates access to institutional data and advocates for data quality and integrity. OSPIE supports student learning assessment, the development and evaluation of academic programs and administrative functions, and institutional and program accreditation.

Minimum Requirements
Master’s degree in a related field or bachelor’s degree with nine credit hours in programming and 1-2 years experience in business application consulting or development; or equivalent combination of training and experience.

All degrees must be received from appropriately accredited institutions.

Preferred Years Experience, Skills, Training, Education
- Advanced degree (master’s or doctoral).
- Proficient with SAS (SAS Base, SAS Enterprise Guide, SAS Enterprise Miner) or Python.
- Experience with time series analysis.
- Experience working at a higher education institution and understanding of how analytics can help drive a university forward.


 
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Contact Information

 
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