Operations Assessment Center 2023

Job description

JOIN OUR SUPPLY CHAIN TEAMS!

Behind every great brand is a great story.

At L’Oréal, ours began with a young entrepreneurial chemist, Eugène Schueller, producing and selling hair-dye from his kitchen. From these humble roots, we’re today a family of88,000 employees, who collaborateacross 150 countries andover36 world renowned brands, with thegoal of innovating and creating products that meet the infinite diversity of our consumers’ beauty needs and desires.

While inventing the future of beauty is our passion, we’re doing it with a strong commitment to sustainability and environment in everything we do. And ourambition is to be the #1 BeautyTech Company.

Fueling this roadmap is the Operations team atL’Oréal- 20,000 people strong, spread world-wide and orchestrating cutting-edge expertise across the entire value chain – from packaging and product development to sourcing, manufacturing, and supply chain.

We are a bunch of very diverse individuals who absolutely love what we do and are excited by the real possibilities that data and technology are unlocking for us.

Joining L'Oréal means being a part of a company that:

·  Allows its employees to have a real impact , to test their ideas, to innovate and to build the future.
·  Has chosen to uphold strong values regarding social and environmental points of view.
·  Is constantly at the fore front of technology to respond to consumer demands for agility, personalization and new beauty experiences.


Are you eligible for a V.I.E ? 

V.I.E is a Business France device allowing Europeans to works internationally for a designated compagny:
·  You must be aged 18 to 28.
·  You must have completed national service obligation.
·  You must be citizien of the European Economic Area. 
·  You must not be a national of the country you are applying for.

WOULD YOU LIKE TO BE A PART OF THIS ADVENTURE?

Join our multi-divisional Customer Supply Services Team  in the capacity of a Data Scientist

At L’Oréal you’ll be working together with passionate people and a management team that will help you to become the best version of yourself. L’Oréal offers an international and diverse working environment where fun and hard work go hand in hand. We take our corporate citizenship seriously and as an employee you can play an active role. Sustainability is our DNA and developing operational excellence through a green supply chain is one of our core values. 

EACH DAY AS PART OF THIS TEAM, YOU CAN EXPECT TO:

Think strategic by taking ownership and by managing & driving key projects and content in the Data area, ensuring a suitable basis for decion-making in the Customer Supply Services Team, in a working environment characterized by a strong team spirit.

Act Tactical and work with a high level of agility and business acumen to support the data and reporting developing for our multi-divisional Customer Supply Services (CSS) with the opportunity to take on the responsibility for own projects.

HERE’S HOW YOU WILL HAVE A ROLE TO PLAY IN IT:

As Data Scientist for the Customer Supply Serivces you will:

·  Transform data into useful information and insights for business decisions
·  Analyze existing databases and recognize patterns in data and seize harmonization opportunities as well as arrange optimization of processes and data maintenance 
·  Develop multi-divisional reports, analysis & BI dashboards for Credit and Customer Care
·  Work with stakeholders’ team on developing key performance indicators
·  Conduct ad-hoc analysis as well as consult colleagues in Customer Supply Services in this regard
·  Prepare and provide material master data exports, coordinate interface optimizations 
·  Support projects with a focus on data 
·  Provide support and conduct trainings on Analytics

THE SKILLS THAT YOU WILL NEED TO SUCCEED:

HARD SKILLS:

·  Languages: English (must have), German (optional), French (not necessary)
·  High level of initiative, and a strong ability to work as part of a team
·  Resilience & Agility
·  Excellent analytical skills, fact based & interesting in data engineering and data science
·  Ability to handle and analyze large data (e.g. PowerBI)
·  Programming skills (e.g. Python/R, SQL)
·  SAP knowledge recommended
·  Curious mindset that’s eager to learn and improve
·  Comes up with and implements innovative ideas
·  Agility, responsiveness and an eye for priorities.
·  Excellent written and verbal communication skills in dealing with colleagues and contacts
·  Solid organizational skills with attention to details

IF YOU COME WITH AN EDUCATION BACKGROUND IN BUSINESS ADMINISTRATION WITH A TECHNICAL /SUPPLY CHAIN FOCUS, ENGINEERING OR SIMILAR, BE PART OF THIS RIDE!