Head of Data Analytics

Who is L’Oréal?

L'Oréal is the world's largest and most profitable beauty company. Present in over 150 countries, L’Oréal has catered to all forms of beauty in the world for over 100 years and has built an unrivalled portfolio of more than 35 international, diverse and complementary brands including L'Oréal Paris, Garnier, Maybelline New York, Nyx Professional Makeup, IT Cosmetics, Lancôme, Kiehl's, Urban Decay, Shu Uemura, Giorgio Armani, Yves Saint Laurent Beauté, Ralph Lauren, Diesel, Biotherm, Clarisonic, Kérastase, L'Oréal Professionnel, Matrix, Vichy, and La Roche-Posay.

For more than a century, L’Oréal has devoted itself solely to one business: beauty. The group's mission is to provide the best in cosmetics innovation to women and men around the world with respect for their diversity. We want to bring beauty to all people. Our ambition for the coming years is to win over another one billion consumers around the world by creating the cosmetic products that meet the infinite diversity of their beauty needs and desires.

Our business is energetic and vibrant, underpinned by strong ethical principles and our belief that financial performance and responsible business go hand-in-hand. We are driven each day by our six founding values - Passion, Innovation, Entrepreneurial Spirit, Open-mindedness, Quest for Excellence and Responsibility.

The distance between beauty and tech is closing rapidly, and we are determined to be pioneers in this new beauty tech world. New digital technologies and services are making the world of beauty move faster than ever before. Data and artificial intelligence are opening new horizons for personalization and customization. By incorporating digital into everything that we do, we are creating a better relationship with our consumers.

When beauty and tech collide, the impossible can happen!

In our journey, we are looking for talented individuals who can lead us on this mission.

Would you like to be a part of the adventure?

Why join us?

Being the world's #1 beauty company, L'Oréal empowers its people who are ready to take bets, think out of the box, defend their convictions, be resilient and leave their own mark. They are offered numerous opportunities, fast track careers and early responsibilities. L'Oréal has ambitious goals and is striving for excellence. This permanent learning experience helps you stretch your potential.

We define success as making a positive, conscious impact. At L’Oréal, you will be encouraged to think and act beyond your job. We push boundaries and move fast globally to stay ahead of the game. Your job will be your own innovation playground. We encourage different points of view. What sets you apart is what makes you great. You will always have the space to question, express, agree and disagree. We unleash everyone's potential. Here, learning opportunities are endless. You will build your own unique path. We believe in the impact of great mentors. You will be inspired by people you won't ever want to forget.

Job Summary

The individual will be responsible to drive data and analytics transformamtion and long term growth for its entity by managing execution of Data initiatives, leading data talents, driving data maturity and ensuring the business is powered by Data Solutions.

Key Responsibilities

Organization & Culture

• Lead Data Transformation projects (on Data Management & Analytics)
• Frame the Data vision & strategy within the Zone, aligned with the direction of the group/zone data team
• Manage Data & Analytics Office
• Build Data Gov & Data Analytics communities and responsibilities of their development
• Foster data acculturation (upskilling, ways of working etc)
  
  

Data & Analytics Offer

• Ensure Data foundations are robust enough to meet analytics needs effectively and assess feasibility (Data quality on local data)
• Ensure adaption of Analytics Products delivered by Global & Zone Data Team
• Analytics Portfolio Management to ensure rapport library is optimized making sure corporate reports are primarily used and if locally developed, they are validated by the corporate metiers
• Facilitate country last mile or ad hoc analysis generation prioritization process and overview the pipeline
• Consolidate demand management & prioritize value creation and data readiness
• Ensure close collaboration with the Zone team to align individual activities with zone priorities and avoid duplication of effort
  
  

Requirements

• Strategic mindset and solid technical background
• Good prioritization skill of use-cases considering business value, resource, project length etc
• Prominent communication skill especially on “C-level” stakeholder management
• Leadership skill to manage large teams of different profiles
• Ability to take initiative and lead cross functional projects to the desired outcome with attention to detail and organizational skills