General

• The position requires a high level of accuracy, extraordinary attention to detail, solid proofreading skills, the ability to multi-task and meet deadlines, and the ability to adhere to ethical and legal standards in institutional research.

• Use data visualization and reporting tools to display and summarize data, trends, and patterns.

• Collect and integrate external data sets with internal data elements for analysis to understand underlying patterns and trends.

• Benchmarks analysis comparing WFU data with data from comparable, peer institutions.

• Clearly communicate and accurately present methodology and results of analyses to various internal audiences using a variety of visual, written, and/or verbal formats.

Under the direction of OIR’s Senior Associate Director:

• Extract data from Workday then feed into SAS or R for data troubleshooting, aggregation, and reporting (e.g. U.S. Department of Education IPEDS, Common Data Set, college guides/rankings, and internal analyses).

• Collaborate with data stewards (e.g. Registrar, Student Financial Aid, HR, etc.) to understand data definitions and resolve data anomalies/questions.

• Query databases and analyze data using SQL and/or analytic tools like R and/or SAS.

• Create ad-hoc reports.

Under the direction of OIR’s Data Scientist:

• Collaborate with various undergraduate College clients (e.g. dean, assistant deans, etc) to understand their information needs and develop innovative, effective data analysis solutions that minimize bias.

• Design, develop, train, and test predictive models to identify and prioritize student success outcomes for the College using a variety of data mining and advanced statistical analysis techniques.

• Maintain proficiency and continuously develop expertise in new developments in the data mining domain including methods, tools, and software.

• Utilize text mining algorithms to analyze textual data and find patterns in textual datasets like open-ended survey items or focus group transcripts.