Survey Research Analyst - Data Visualization & Insights

Villanova University; Lower Merion Township (Montgomery County); On-site; USD 58,000 - 74,000; Full time

Job summary

Villanova University is seeking a Research Analyst, Survey Research to independently design, administer, and interpret strategic surveys that support University decision-making. You will analyze data and develop interactive visualizations to inform policy and program planning.

The role emphasizes collaboration with stakeholders, data security, and ongoing knowledge of survey methods and technologies across a clean data governance framework.

Qualifications

• Bachelor’s degree in a research- or analytics-related field.
• Three years of experience in survey research or related field.
• Experience with survey platforms such as Qualtrics or comparable software.
• Proficiency with Microsoft 365 applications (Excel, Word, PowerPoint).
• Ability to communicate technical findings to non-technical audiences.

Responsibilities

• Develop, administer, and report strategic surveys as part of the University’s Systematic Survey Cycle.
• Collaborate with university entities to communicate findings and support evidence-based decisions.
• Analyze quantitative and qualitative data to produce actionable insights and reports.
• Manage qualitative analyses including coding and thematic summarization for reporting.
• Support data governance, security, and best practices for survey data management.

Skills

Communication

Team collaboration

Organization

Report writing

Data confidentiality

Education

Bachelor’s degree in a research- or analytics-related field

Master’s degree in higher education or related field

Tools

Qualtrics

SPSS

R

Excel

PowerPoint

Job description

Villanova University is seeking a Research Analyst, Survey Research to independently design, administer, and interpret strategic surveys that support University decision-making. You will analyze data and develop interactive visualizations to inform policy and program planning.

The role emphasizes collaboration with stakeholders, data security, and ongoing knowledge of survey methods and technologies across a clean data governance framework.