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Data Opportunities

L'Oréal

Data Opportunities

L'Oréal

·

On-site

·

Full-time

·

6d ago

Back

Permanent

Beyrouth

Beirut

Data

Full

  • Time

03-Mar-2026

Data, Analytics & AI Talent Community

  • L'Oréal Lebanon

Are you ready to Decode the Future of Beauty?

At L'Oréal, data is the fuel for our innovation. We don't just collect information; we transform complex data into strategic insights that personalize the beauty experience for millions. We are currently building our Data & Analytics Talent Pipeline to identify the next generation of Rising Players.

By joining our Data Talent Community, you are positioning yourself for upcoming strategic roles across our four divisions and our regional tech hubs.

What we are looking for:

We are seeking tech-savvy professionals with a Strategic Vision

and a passion for turning data into business value. Whether your expertise is in Data Engineering, Business Intelligence, or Data Science, we want to hear from you if you excel in: -Data Engineering & Architecture: Building robust pipelines to ensure data quality and accessibility.

  • Business Intelligence (BI): Creating powerful dashboards (PowerBI/Tableau) that drive real-time decision-making for Marketing and Commercial teams.
  • Data Science & AI: Developing predictive models to anticipate beauty trends and consumer behavior.
  • Digital Analytics: Measuring the impact of our online strategies across platforms like Noon, Amazon, and Social Commerce.
  • Stakeholder Management: Translating complex technical findings into actionable strategies for non-technical business partners.

Why Join the L'Oréal Data Pipeline?

  • Beauty Tech Leadership: Be at the forefront of the industry's digital transformation.
  • Metier-Focused Growth: We prioritize your technical expertise, offering a career path that spans across all our brands and divisions.
  • Advanced Tech Stack: Work with cutting-edge tools and cloud environments (GCP/Azure) to solve real-world business challenges.
  • Entrepreneurial Spirit: You will have the autonomy to propose new data-driven solutions that "Lead the Change."

The Process:

  • Join the Community: Upload your CV and complete your profile.
  • Review: Our Talent Acquisition team reviews profiles based on "Rising Player" potential and financial track record.
  • Connect: If your profile aligns with our strategic needs, we will reach out for an exploratory conversation—even before a specific vacancy opens!

Apply now

You can apply to up to three jobs within a rolling 30-day window.

You cannot withdraw your application once you applied, so please make sure to choose a job that matches your dreams.

Please visit "Your Application Space" to see the jobs you have already applied to.

Please don’t create another account with a different email. If you do so, your account might be merged and your application record will be deleted.

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About L'Oréal

L'Oréal

L'Oréal

Public

L'Oréal is a French multinational cosmetics and beauty company that develops, manufactures, and markets skincare, haircare, makeup, and fragrance products. The company operates through multiple divisions including consumer products, luxury brands, professional products, and active cosmetics.

10,001+

Employees

Clichy

Headquarters

Reviews

3.8

10 reviews

Work Life Balance

3.2

Compensation

4.1

Culture

3.4

Career

4.2

Management

2.8

68%

Recommend to a Friend

Pros

Career growth and progression opportunities

Good compensation and benefits

Strong company reputation and brand

Cons

Management and leadership issues

Work-life balance challenges

Office politics and workplace culture issues

Salary Ranges

0 data points

Intern

Intern · Data Analyst

0 reports

$72,061

total / year

Base

-

Stock

-

Bonus

-

$61,252

$82,870

Interview Experience

35 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

41%

Experience

Positive 64%

Neutral 22%

Negative 14%

Interview Process

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

Common Questions

Technical skills

Past experience

Team collaboration

Problem solving