Reingold-posted about 2 months ago
Full-time • Intern
Onsite • Alexandria, VA
101-250 employees
Professional, Scientific, and Technical Services

As a CX Data Analyst intern, you'll be an integral part of our Digital Experience team, working at the intersection of data, content strategy, and user experience. You'll analyze website data and collaborate closely with both our content strategists and UX designers to ensure insights are seamlessly woven into our digital experiences. We're looking for someone excited to bridge the gap between quantitative and qualitative research-someone who's as comfortable drawing conclusions from numbers as they are contextualizing user feedback. At Reingold, we're looking for our next rising analyst to help us uncover the stories hidden in our customer data. Our interns tackle real-world challenges and help us turn numbers into insights that drive better experiences for our clients. Candidates who are early in their careers or seeking full-time employment are encouraged to apply. Internships are full-time (40 hours) during the standard workweek and pay an hourly rate of $20. The internship class begins on Thursday, January 8, and runs through Friday, May 22. Core hours during the internship are 9 a.m. to 5:30 p.m. Eastern time. This internship requires five in-office days (Monday - Friday) at our office in Alexandria, Virginia.

  • Assisting with website data collection, cleaning, and organization to support customer experience initiatives.
  • Creating data visualizations, dashboards, and presentation materials to share insights with internal teams or clients.
  • Helping to design and evaluate experiments or A/B tests to drive measurable improvements in CX.
  • Conducting research on best practices in customer experience measurement and analytics.
  • Translating data findings into actionable recommendations in clear, logical language.
  • Participating in internal reviews and collaborative brainstorming sessions.
  • Performing ad hoc analytical tasks based on your skills and Reingold's needs.
  • The ideal candidate will balance a technical skillset with the writing, design, and storytelling skills needed to help stakeholders quickly see what's happening, why it matters, and what to do next.
  • Coursework or formal training in data analysis, statistics, social science, business, or another analytical field.
  • Familiarity with spreadsheets (Excel/Google Sheets) or data analysis tools.
  • Demonstrated attention to detail.
  • Strong oral and written communication skills, including ability to explain data concepts to non-experts.
  • Excited to learn new things and tackle open-ended questions.
  • Ability to thrive under pressure and meet deadlines.
  • Curious, logical, and analytical mindset.
  • Data visualization tools (Tableau, PowerBI, Google Data Studio, etc.).
  • Coding or scripting languages such as SQL, Python, or R.
  • Customer experience metrics (NPS, CSAT, etc.) or CRM systems.
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