Assistant Director, Institutional Research

Assistant Director, Institutional Research

Virginia Peninsula Community College changes lives and transforms our community through diverse, inclusive, and equitable education and workforce training, excellent support and services, and innovative partnerships.

The Assistant Director of Institutional Research serves a pivotal role in advancing institutional effectiveness as the lead analyst, subject matter expert, and a strategic partner to the Director. The Assistant Director is responsible for leading complex research projects, overseeing data governance, and providing timely, accurate, and actionable data and insights to inform institutional decision‑making and planning, satisfy external reporting requirements, and support institutional effectiveness and equitable student outcomes.

The Assistant Director supervises the Research Analyst(s), and supports the Director, as needed.

• Team Leadership and Mentorship
  - Supervise and mentor the Research Analyst(s), providing guidance on projects, conducting quality assurance reviews, and fostering their professional development.
• Data Management and Governance
  - Lead the College’s institutional research activities, including the development and maintenance of datasets, models, and data integrity checks. Support institutional data governance and ensure data quality.
• Research, Analytics, and Reporting
  - Lead the design and execution of complex data analyses, including strategic research projects, external reporting (i.e., IPEDS), and ad‑hoc data requests.
• Data Visualization and Communication
  - Oversee the development of interactive dashboards, reports, and data visualizations that translate complex data findings into clear, concise, and actionable insights for diverse audiences. Present information and collaborate across the institution to enhance data literacy.
• Performs other duties as assigned, including serving on college committees.

• Extensive experience in data analytics and interpreting data.
• Demonstrated experience and progressive responsibilities within institutional research or a related data analysis field.
• Experience with external reporting to federal and state agencies, grants, accreditors, and other reporting bodies.
• Extensive Experience working with relational databases and programming in SQL, SAS, or other related languages (i.e., R, SPSS, Python).
• Experience with Power
  
  BI or other data visualization technology.

• Thorough knowledge in the application of quantitative research methods and both descriptive and inferential statistics.
• Thorough knowledge in data analytics and the use of data to answer questions and solve problems.
• Knowledge of data governance, data privacy and ethical data use.

• Strong research and analytical problem‑solving skills.
• Advanced proficiency in extracting and manipulating data from relational databases.
• Expertise in SAS or similar statistical programming languages (e.g., SQL, R, SPSS, Python).
• Excellent data visualization skills.
  · Proficiency in using Microsoft Office applications (Word, Excel, Power point, etc).
• High level of attention to detail with a focus on thoroughness and quality.
• Strong report writing and presentation skills.

• Lead and conduct research projects and apply analytical and evaluative techniques, formulate conclusions, and make recommendations.
• Work independently, manage multiple projects, and prioritize appropriately.
• Effectively communicate complex findings to non‑technical audiences.
• Travel and work at all campus locations.

• Experience working in a higher education setting.
• Experience working in a community college setting.
• Experience with predictive modeling and machine learning techniques.
• Supervisory experience

Apply online at (Use the "Apply for this Job" box below)./90468

EEO Statement The Virginia Community College System (VCCS) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, political affiliation, veteran status, sexual orientation, gender identity or other non‑merit factors.