Global HR Talent Analyst Intern — Data-Driven, Paris-Based

Danone

Paris

On-site

EUR 15,000 - 17,000

Full time

2 days ago
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Benefits offered by this job

Remote work up to 2 days/week
Public transport reimbursement
Vendredi je grandis program
Company restaurant
Gym access
Bike parking

Job summary

Danone in Paris is seeking an ambitious Global HR Talent Analyst Intern to support talent analytics, onboarding and engagement initiatives at its headquarters. You’ll deliver dashboards, analyze data, and help drive HR programs in a global, cross-functional environment.

The role requires a master’s student with strong Excel, PowerPoint and communication skills, fluent English, and a passion for people and data-driven decisions.

Qualifications

  • Pursuing a master’s degree (Bac+4/Bac+5) in a relevant field.
  • Fluent in English (written and spoken).
  • Excellent analytical and problem-solving skills.
  • Advanced Excel skills (Pivot, VLOOKUP/XLOOKUP).
  • Strong PowerPoint and presentation abilities.

Responsibilities

  • Talent Analytics: produce dashboards and reports, identify trends, and prepare presentations.
  • Extract and consolidate data from HRIS and support talent reviews.
  • Support onboarding processes and coordinate communications.
  • Candidate and employee engagement: assist employer branding and events.
  • HR community support: coordinate meetings and share best practices.

Skills

Analytical thinking
English fluency
Stakeholder management
Data analysis
Excel advanced
PowerPoint skills
Communication

Education

Master's degree
Business School / University

Tools

HRIS
Reporting tools

Job description

Danone in Paris is seeking an ambitious Global HR Talent Analyst Intern to support talent analytics, onboarding and engagement initiatives at its headquarters. You’ll deliver dashboards, analyze data, and help drive HR programs in a global, cross-functional environment.

The role requires a master’s student with strong Excel, PowerPoint and communication skills, fluent English, and a passion for people and data-driven decisions.

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