Intern Client Services Data Insights
@ SEPHORA

San Francisco, CA
$52,000
On Site
Intern
Posted 23 days ago

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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.

📝 Interview Preparation Advice

Technical Preparation

Review AI tool performance metrics.
Practice data analysis with real datasets.
Familiarize with report development software.
Learn basics of contact management systems.

Behavioral Questions

Describe a teamwork challenge resolved effectively.
Explain a time you managed detailed analysis.
Share how you adapt in fast-paced projects.
Discuss a problem-solving scenario in data work.

Frequently Asked Questions