IT Business Systems Analyst

The Office of Institutional Research (IR) plays a critical role in managing data collection, analysis and reporting activities in fulfillment of university’s regulatory, accountability, compliance, and other public information obligations. The position reports to the director of the Institutional Research and assumes responsibility for assignments that support data analysis, reporting, and research functions in the IR office. The scope of this position extends from IR to the entire University community. 
The overall duties of this position entail data collection, analysis, reporting that support decision-making. Under this general job function, the position specifically is responsible for: 

1. Assist with Student Data Mart (SDM) submissions. The person in this position is one of the key member in SDM team and responsible for SDM data cleaning and submission to ensure data accuracy and integrity; the person should closely work with functional offices on testing and provide resolutions to fix errors.

2. Maintenance and integrity of institutional data and reports. The position requires working with large complex data sets from various data sources to maintain a coherent system using institutional knowledge and information system, such as monitor the weekly enrollment report, respond ad hoc requests and surveys, and update Common Data Set and Facebook. 

3. Assist with SQL/SAS Programming. The person will write or modify SQL/SAS queries to extract and combine data, and document data location. S/he will work with large complex data sets, merge current with historical records, and manipulate data to report to federal, state, UNC system, associated agencies, and internal community.

4. Maintain and visualize institutional data using Tableau. 

5. Other duties as assigned (not limit to), such as maintain and update IR website and assist with office licenses renewal and purchasing orders.

Required Qualifications
· Bachelor’s degree in Computer Science, Computer Information Systems, Statistics, or related technical degree from an appropriately accredited institution;  · Experience in using Tableau or other visualization tool; · Experience in writing SQL/SAS scripts to perform data queries and produce reports; · Pay attention to details; · Well communication for the interpretation of graphic data.

Preferred Qualifications

• Master’s degree in a technical discipline such as computer science, information technology, or management information systems; or a master’s degree in a non-analytical field with two or more years of relevant experience;
• Experience in institutional research;
• Experience related to data analytics.

Special Instructions to Applicants:  The position will be open until filled. Please submit your application on UNCP HR’s website with detailed resume, cover letter and list of three professional references. 

This position is subject to the successful completion of an employment background check. An employment background check includes a criminal background check, employment verification, reference checks, license verification (if applicable) and credit history check (if applicable). In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. New employees are paid only by direct deposit to the financial institution of their choice. Candidates claiming Veterans Preference must attach a copy of their DD-214 as a part of the online application process. 

UNC Pembroke is an Equal Opportunity Employer. The University prohibits discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibits discrimination against all individuals based on their age, race, color, genetic information, religion, sex, sexual orientation, gender identity or expression and national origin. UNC Pembroke is a VEVRAA Federal Contractor and seeks priority referrals of protected veterans for our openings.