North East Association for Institutional Research

Essential Functions

• Set a multi-year survey research strategy and an annual survey calendar aligned with institutional priorities, assessment, and accreditation needs; coordinate communications with campus partners.
• Lead a survey liaison group (SLG) comprising representatives from each college or school to coordinate needs, timing, communications, and follow-up use of results.
• Lead end-to-end survey lifecycle management: intake and consultation, questionnaire design, testing and piloting, sampling, incentive planning and management, fielding, monitoring, closeout, and documentation.
• Administer and optimize the survey platform (e.g., Qualtrics), including templates and standards, complex logic, distribution, user guidance, and vendor coordination as needed.
• Maintain stewardship of survey data across collection, storage, governance, and reporting; continuously improve the survey data warehouse and ETL/data pipelines.
• Implement data quality and reproducible workflow standards (QA, version control, and metadata/codebooks) to ensure accuracy and auditability.
• Conduct statistical analyses of survey and institutional data (including multivariate techniques as appropriate) to assess trends, subgroup differences, and potential bias.
• Develop executive-ready deliverables—briefs, presentations, dashboards, and visualizations (e.g., Tableau or Power BI)—that translate findings into actionable recommendations. 
• Support institution-level and external reporting and benchmarking as assigned (e.g., Factbook, IPEDS, Common Data Set, rankings, and external surveys), ensuring consistent definitions and appropriate interpretation of survey-derived metrics; partner with IT/data teams to integrate survey data and institutional systems (e.g., Banner) for sampling and analysis.

Required Qualifications

• Minimum of a Bachelor's Degree in relevant field (e.g., social science, statistics, higher education, public policy, psychology, sociology, economics, or a related discipline) or the equivalent combination of education and work experience. (Please review the Equivalency Chart for additional information.)
• Minimum of 5 years experience conducting quantitative research in an applied setting (e.g., institutional research, program evaluation, survey research, market research, customer/employee insights).
• Demonstrated knowledge of survey methods and measurement (question design, sampling, fielding modes, response rate improvement, data cleaning, and bias considerations).
• Strong data management and manipulation skills with careful attention to detail and data integrity.
• Experience working with relational databases and querying tools (SQL preferred).
• Experience with survey platforms (Qualtrics preferred) and the ability to manage complex survey logic, distribution, and reporting outputs.
• Proficiency with statistical software and/or programming tools for analysis (e.g., R, Python, SPSS, SAS, Stata) and with spreadsheet tools as needed.
• Proficiency with data visualization and dashboarding tools (e.g., Tableau, Power BI) and reporting automation.
• Excellent written and verbal communication skills, including the ability to communicate technical results to non-technical audiences.
• Strong project management skills, including prioritization, stakeholder consultation, and meeting deadlines in a dynamic environment.

Preferred Qualifications

• Master’s degree or doctoral degree in a related field (quantitative discipline preferred).
• Experience in higher education institutional research, assessment, accreditation, or student success analytics.
• Familiarity with higher education reporting standards and data definitions (e.g., IPEDS, Common Data Set), as relevant to the role.
• Proficiency with multivariate statistical techniques and applied modeling approaches.
• Experience building or maintaining data pipelines/ETL workflows and/or working with data warehousing concepts.
• Experience analyzing open-ended survey responses (coding schemes, text analytics) and mixed-methods reporting.
• Familiarity with accessibility standards and inclusive research practices (e.g., accessible survey design, culturally responsive measurement).