Paid Customer Experience Analyst Intern
Continental Properties
About the Role
Continental Properties is seeking a Summer 2027 Customer Experience Analyst Intern to join our team at our home office in Menomonee Falls, WI. The Customer Experience (CX) team monitors and improves the resident and prospect experience across our national portfolio of apartment communities. You will support the CX team's research efforts, using resident feedback data to identify trends and inform improvements.
Position Specifics:
- Full-Time during Summer 2027
- Pay: $20.00 - $23.00 per hour
Key Responsibilities
- Analyze quantitative and qualitative customer data to identify trends and pain points.
- Translate findings into written, actionable recommendations.
- Create data visualizations/charts that illustrate key findings.
- Support ad hoc survey projects, including drafting survey questions, assisting with survey programming, producing topline results, and coordinating with the Data team for accurate data pulls.
- Support customer research and resident panel activities, including drafting discussion guides, coordinating research logistics, and helping synthesize findings.
- Conduct secondary research on CX-related topics and industry trends.
Requirements & Tech Stack
Currently enrolled in a bachelor's or graduate degree program.
Skills For Success:
- Strong Excel skills, including creating formulas, pivot tables, and organizing data from multiple sources.
- Strong writing skills for summarizing findings and recommendations.
- Experience with survey platforms (e.g., Qualtrics, SurveyMonkey, Google Forms, or Medallia), including creating survey questionnaires and programming surveys.
- Ability to build clear, well-organized PowerPoint reports.
- Ability to communicate ideas effectively and collaborate as part of a team.
- Experience working with AI tools to analyze data (e.g., Claude, ChatGPT).
Qualifications
Education:
- Rising junior, senior, or graduate student pursuing a degree in a quantitative or research-focused field (e.g., Statistics, Data Analytics, Psychology, Sociology, Economics, Political Science).
Experience:
- Prior coursework or internship experience involving data analysis, quantitative research, or customer research.