Intern Client Services Data Insights @ SEPHORA
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Job Details
Overview
At Sephora, our Intern Client Services Data Insights role is a 10-week internship that empowers early career professionals to learn hands-on while enhancing customer experience with AI optimization and data analysis.
Program Details
Interns will participate in virtual workshops, networking sessions, and career panels. This internship serves as a pathway into Sephora’s LEAP program, which prepares trainees for full-time entry-level roles in Supply Chain, Marketing, or Merchandising.
Role Responsibilities
- Analyze the performance of AI-powered contact management tools.
- Refine AI guides and prompts for accurate client inquiry handling.
- Utilize AI for ad hoc business analyses.
- Develop reports tracking AI performance and insights.
- Collaborate with multiple departments to improve customer service.
Qualifications & Experience
Applicants should possess strong analytical skills, a passion for leveraging technology, attention to detail, and effective communication. Familiarity with AI tools and data analysis techniques is beneficial.
Program Dates & Work Schedule
The program runs from June 1 to August 14, 2026 with a 36-hour work week. It includes an on-site week at the San Francisco headquarters and a week off for summer shutdown. The schedule aligns with Pacific Standard Time.
Additional Benefits
At Sephora, interns gain exposure to industry leaders, career development opportunities, and a culture that celebrates diversity and innovation in the beauty sector.
Key skills/competency
- Data Analysis
- AI Optimization
- Report Development
- Customer Service
- Technical Proficiency
- Collaboration
- Analytical Skills
- Communication
- Problem-solving
- Attention to Detail
How to Get Hired at SEPHORA
🎯 Tips for Getting Hired
- Customize Your Resume: Tailor it for data insights and AI roles.
- Research Sephora: Understand their mission and team culture.
- Highlight Analytical Skills: Emphasize data and reporting experience.
- Prepare Examples: Show past work with AI or data projects.