Data Analyst

Role overview

Schedule and workplace

• The position is 40 hours per week, typically Monday through Friday, 8:00 a.m. to 5:00 p.m.
• The role is primarily on campus, with occasional remote hours possible after training.

Data management and reporting

• Manage institutional research data warehouse files and tables and related databases.
• Develop and run SQL and other database queries; develop enrollment reports and related processes.
• Document data processes, definitions, and reports; maintain coding consistency, data quality, and governance practices.
• Develop and maintain Tableau and related dashboards.
• Produce tables, graphs, and narrative analysis of qualitative and quantitative data.
• Use Python or R for advanced data processing, analysis, visualization, and reporting automation.

Institutional research support

• Support institutional monitoring, accreditation, assessment, and ad hoc data requests in collaboration with college staff.
• Support survey administration and reporting while observing privacy and security requirements such as FERPA.
• Manage multiple data requests and projects, conduct longitudinal and cohort tracking, and support compliance reporting.
• Serve on college committees and work groups and support PeopleSoft Query development.
• Assist with data disaggregation for curriculum and program review, institutional monitoring, and other DEI initiatives.

Minimum qualifications

• Bachelor’s degree in information systems, computer science, or a related field, or equivalent education and experience.
• Prior database management experience and strong working knowledge of SQL.
• Proficiency in at least one programming or statistical computing language; Python or R is preferred.
• Communication, interpersonal, and teamwork skills.
• Experience with Microsoft Access or a similar relational database, including data management and query functions.
• Proficiency with general office tools, including Word or Google Docs, Excel or Google Sheets, and PowerPoint or Google Slides.
• Awareness of data governance principles and best practices.

Preferred qualifications

• Working knowledge of Oracle/PeopleSoft.
• Prior higher education experience.
• Proficiency in Tableau or similar dashboard software.
• Ability to apply statistical analysis tools to quantitative and qualitative data.

Compensation

• The source lists compensation of USD 74,400–99,000 yearly.
• The position is exempt; overtime eligibility may depend on the salary offer under FLSA.

About the team