Unleash Your Potential at L'Oréal's Beauty Tech!
For more than a century, L’Oréal has devoted itself solely to one business: Beauty. Present in 150 countries across five continents and with €42 billion consolidated sales, L'Oréal is the global industry leader. With 37 global beauty brands across four divisions, L’Oréal offers beauty for each covering all beauty categories and catering to all beauty desires. With the acquisition of the Australian brand Aēsop in 2023, the Group continues to expand its portfolio through targeted acquisitions as part of its drive to create the future of beauty.
Today, L’Oréal includes more than 2,000 tech positions and is constantly growing. Beauty Tech is changing the game and leading the shift towards new consumer realities and a digital disruption. Championing Beauty Tech, we invent the beauty of the future while becoming the company of the future.
Beauty Tech is how we know our consumers intimately, augmenting their beauty journeys with unparalleled diverse and sustainable experiences. Beauty Tech equips the Group with the key assets it needs to conquer this new world, where Tech has become strategic. With this ambition, L’Oréal continues to recruit diverse, innovative, skilled and passionate minds in different tech domains such as Data, Digital, Cloud, Cyber Security, IT Architecture, DevOps, Applications and Infrastructure.
YOUR FUTURE TEAM
Part of the Beauty Tech Data and AI Team, you will join the Analytics Services Team.
Our team’s mission is to define and implement scalable, secure, and efficient analytics platforms and services to empower data-driven decision-making across the Group. We support a wide range of use cases, from standard reporting to self-service BI and advanced analytics, including Text2Analytics.
We are a team of passionate and experienced professionals working collaboratively to structure the future of analytics at scale. We value technical excellence, business partnership, innovation, and knowledge sharing.
The team is composed of around 10 experts based across several regions, and we work closely with Data Engineers, Architects, Business Analysts, and external partners such as Microsoft and Google.
Our key challenges include harmonizing analytics practices across the Group, optimizing data and tool governance, enabling semantic modeling at scale, and continuously scouting for the next generation of analytics capabilities and technologies.
What you'll be doing
You will report to the Analytics Services Manager within the Beauty Tech Data & AI department.
In your role, you will help shape the vision of the analytics platform architecture, ensuring its robustness and adaptability to various business needs across divisions.
You will contribute to designing an efficient and secure ecosystem that supports self-service BI, standard reporting, and innovative use cases such as Text2Analytics. You will support decision-making around tooling, best practices, performance optimization, licensing strategy, and governance.
You will interact with a wide array of internal and external stakeholders, from data engineers and architects to vendors and business teams. You will also take part in communities of practice and promote analytics culture across the Group.
If you're someone who thrives at the intersection of business needs and technical excellence, passionate about building the analytics of tomorrow, and keen to have an impact at scale—this role is for you !
Your tasks:
Product Ownership (40%)
- Define the product vision and priorities for the analytics platforms.
- Gather requirements from stakeholders (business, IT, data) to design sustainable solutions.
- Scope and prioritize projects related to Analytics architecture, including semantic modeling, access governance, and monitoring.
- Implement best practices for deployment (CI/CD, DevOps, automation).
Architecture & Delivery (40%)
- Define the target architecture of the Group’s Analytics stack
- Drive the technical implementation of solutions in collaboration with data/IT teams.
- Structure semantic layers tailored to Self-Service BI use cases.
- Ensure scalability, performance, security, and maintainability of deployed solutions.
- Ensure the adoption of the tool
Technology Watch & Innovation (20%)
- Conduct continuous monitoring of BI and analytics tools.
- Test and recommend relevant emerging solutions (Text2Analytics, AI-augmented BI, etc.).
- Actively participate in internal and external communities (conferences, benchmarks, POCs).
THIS IS WHAT YOU WILL NEED TO SUCCEED!
First and foremost, we love people that are curious, collaborative, eager to have an impact, proactive and who value innovation, autonomy, and team spirit.
Secondly, in this specific position, it will be important for you to have:
- Master’s degree in engineering, Computer Science or a relevant technical field, or equivalent work experience
- 6 or more years of experience in Data and Analytics platforms
- Strong knowledge of data modeling, semantic layer design, data governance, and access control
- Strong communication and stakeholder management skills
- A solid experience and understanding of Power BI, Fabric, Looker, BigQuery solutions and coding/modeling languages such as SQL, DAX and LookML.
- Fluency in English
LET US GIVE YOU 6 OTHER REASONS TO JOIN US!
Joining L'Oréal means joining a company that:
- Invests in Tech and positions its Tech teams at the heart of its digital transformation strategy.
- Allows its employees to have a real impact, to test their ideas, to innovate and to build our future.
- Offers a Hybrid Work Policy: 3 Days in Office, 2 Days Work from Home
- Provides many benefits: VIP staff shop offering our products at a preferential rate, a company restaurant & gym, 60% reimbursement of transportation subscription, a work council offering lots of employee discounts (social & cultural activities, holiday vouchers etc.) and much more!
- Delivers a powerful and innovative HR policy: dynamic mobility policy, significant investment in employee training, regular re-evaluation of remuneration, numerous innovative HR measures: Time Savings Account, paternity leave, Citizen Day, etc.
- Is an Equal Opportunity Employer and takes pride in a diverse environment. We would love to find out more about you as a candidate and we do not discriminate in recruitment, hiring, training, promotion, or other employment practices. The beauty we find in our differences gives us the freedom to go beyond. That’s the beauty of L’Oréal.
Want to learn more about L’Oréal Beauty Tech? Click here.