The Office of Institutional Research and Analysis operates primarily as the central unit for the collection, processing, analysis, interpretation, reporting, and maintenance of official (historical) university data. The Office serves both the administrative and academic divisions of the University and provides data, information, tools, and resources to the University community to support management planning and decision-making and to objectively assess the strategic direction and performance of the university.

The Senior Business Intelligence Data Analyst is the lead technical position supporting business intelligence, reporting, research, and modeling in the Office of Institutional Research and Analysis. This position is expected to:

• Develop predictive and prescriptive models to support enrollment management and student success.
• Support institutional data needs for strategic decision-making, enrollment planning, student success, and evaluation of program effectiveness.
• Conduct ad hoc research, analysis, and presentation of institutional data in response to questions from NCCU senior leadership.
• Assist with staff training and development in areas related to data collection, data management, and data analysis.

• Workplace experience with analytic programming using tools like R, Python, or SAS.
• Demonstrated experience using complex SQL queries to extract data from databases.
• Demonstrated ability to conduct statistical analyses using tools such as SPSS, Stata, SAS, and Excel.
• Demonstrated experience creating database objects including views, tables, and indexes in an enterprise-quality relational database system (e.g., SQL Server, Oracle, MySQL).
• Strong ability to verbally and visually present information that is easily interpretable by technical and non-technical audiences using various formats including visual data platforms (e.g., Tableau or Microsoft PowerBI), Microsoft Excel, and PowerPoint.
• Demonstrated strong analytic and problem-solving skills with great attention to detail and accuracy while working with large, disparate data sets and performing mining, validation, and information interpretation.
• Demonstrated time management skills including clearly defining and planning activities and setting personal and working team priorities, juggling competing priorities in a fast-paced, complex environment.
• Demonstrated experience with both qualitative as well as quantitative analysis.

Bachelor’s degree and seven years of related work experience or master’s degree in math, statistics, economics, computer science, data science, psychology, or related field plus four years of related work experience. High level of demonstrated proficiency with query languages, use of relational databases, and statistical modeling.

None

North Carolina Central University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or status as a protected veteran.