Summer CX Analyst Intern — Data-Driven Insights

Continental Careers; United States; Remote; USD 28,000 - 32,000; Part time

Job summary

Continental Properties is seeking a Summer 2027 Customer Experience Analyst Intern to join the CX team at our home office in Menomonee Falls, WI. You will analyze resident and prospect data to identify trends and inform improvements across our national apartment portfolio.

You will gain hands-on experience with data analysis, creating visualizations, and drafting recommendations, while leveraging GenAI tools to accelerate insights. Enrollment in a bachelor's or graduate program is required.

Qualifications

• Rising junior, senior or graduate student pursuing a quantitative or research-focused degree (e.g., Statistics, Data Analytics, Psychology).
• Prior coursework or internship involving data analysis, quantitative research, or customer research.
• Interest in applying GenAI tools to accelerate analysis.

Responsibilities

• Analyze quantitative and qualitative customer data to identify trends and pain points.
• Translate findings into written, actionable recommendations.
• Create data visualizations and charts illustrating key findings.
• Support ad hoc survey projects, drafting questions, survey programming, topline results, and coordinating with the Data team for accurate data.
• Support customer research and resident panel activities, drafting discussion guides, coordinating research logistics, and synthesizing findings.
• Conduct secondary research on CX topics and industry trends to support broader initiatives.

Skills

Excel

Strong writing

Survey experience

GenAI tools

Education

Bachelor's or graduate degree in quantitative/research field

Tools

Claude (GenAI)

Job description

Continental Properties is seeking a Summer 2027 Customer Experience Analyst Intern to join the CX team at our home office in Menomonee Falls, WI. You will analyze resident and prospect data to identify trends and inform improvements across our national apartment portfolio.

You will gain hands-on experience with data analysis, creating visualizations, and drafting recommendations, while leveraging GenAI tools to accelerate insights. Enrollment in a bachelor's or graduate program is required.