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eAIR is the newsletter of the Association for Institutional Research (AIR). From its start in October 1987 to today, eAIR remains one of the most important tools for providing news to the higher education community.

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Mar 18, 2025, 00:00 AM
Title : Data Analyst, Office of Institutional Research (R0007560)
Salary range low : 0
Salary range high : 0
Application due date : 2025-03-18
Job start date : 2025-03-18
Reports in office : Office of Institutional Research
Reports to : Assistant Provost
Number of staff reports : 0
Remote work :
City : Winston-Salem
State : NC
Institution : Wake Forest University
Meta Title : Data Analyst, Office of Institutional Research (R0007560)
Is imported : Yes
Exclude salary : No

Please apply here: https://wfu.wd1.myworkdayjobs.com/Staff_Career_Website_live/job/Winston-Salem-NC/Data-Analyst--Office-of-Institutional-Research_R0007560

Job Description Summary:

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. 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. 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. 

  • 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.

Required Education, Knowledge, Skills, and Abilities:

Bachelor’s degree in data Analytics, Statistics, Mathematics, Computer Science, Informatics, or related field with one to three years of experience extracting, manipulating, analyzing, and synthesizing complex data sets to produce highly readable, informative reports, and presentations.

 Advanced knowledge of R, SAS, and/or SQL; proficiency in MS Excel, MS PowerPoint, MS Word, and/or Google equivalents.

 Experience using visualization software (e.g. MS Power BI); predictive models and machine learning techniques such as clustering, regression, artificial neural networks, decision trees, etc.

 Ability to collaborate with a team, work independently, and meet deadlines; strong orientation for customer service.

Please See Job Posting

Job Type :
  • FULLTIME

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