Hello, we’re L’Oréal. We're not just building brands, we're shaping how the world experiences beauty (and it takes a lot of cool jobs to do it). Intrigued? Keep reading, this might be the opportunity you've been searching for.
A Day in the Life
As a Business Intelligence Analyst in our Corporate division, you will be a trusted consultant, transforming complex data into actionable commercial strategies. You'll join a team that sits at the intersection of data exploration and strategic business partnership, using your expertise to influence stakeholders and pioneer new data-driven solutions for the UK market and beyond.
Strategic Business Partnership: Act as a strategic partner for UK business teams, translating commercial questions into data-driven hypotheses and crafting compelling narratives to influence decision-making.
Advanced Data Exploration: Query and analyze large-scale datasets in Google BigQuery to uncover hidden commercial opportunities, diagnose business performance, and proactively propose solutions.
Agile Prototyping & Innovation: Design and build rapid proof-of-concept (PoC) reports and data models to solve immediate business challenges, acting as an innovation catalyst before collaborating with global teams to scale successful insights.
AI-Driven Acceleration: Leverage L’Oréal’s cutting-edge generative AI tools to automate workflows, speed up time-to-insight, and champion new ways of working, all while ensuring strict data privacy and security.
We Are Looking For
You are a great match for this role if you are a curious and collaborative problem-solver who thrives on turning data into tangible business impact. You possess a unique blend of deep technical skill and commercial acumen, with an entrepreneurial spirit to build, test, and innovate. You're looking for a role where you can have a real impact and grow with a global leader. We're looking for someone with:
Business Intelligence & Data Analytics: Proven ability to transform complex data into clear, actionable business insights and strategies.
Advanced Technical Proficiency: Strong experience with Power BI (including DAX and Power Query) and writing complex SQL queries, preferably within Google BigQuery.
Data Modeling & Architecture: A solid understanding of data modeling principles (e.g., Star/Snowflake schemas) and modern data warehousing concepts.
Strategic Mindset & Storytelling: The ability to act as a consultant to the business, communicating data-driven narratives that influence stakeholders at all levels.
Agile and Innovative Approach: A proactive and self-motivated mindset, with experience in building rapid prototypes and an interest in leveraging AI for data analysis.
What’s In It For You
A place for you to leave your comfort zone and grow beyond your potential (here, you’ll be encouraged to try new things and take risks!)
Real responsibility from day 1, there’s no sitting on the sidelines at L’Oréal
An environment where people of every ethnicity, social background, age, religion, gender and sexual orientation as well as people with disabilities are accepted, can speak up, will thrive and are celebrated!
A place where you can contribute to something bigger! Many of our brands have societal/environmental causes to make a concrete difference.
Who We Are
L’Oréal is present in 150 markets on five continents. For more than a century, L’Oréal has devoted itself solely to ‘Create beauty that moves the world’; it is now the industry world leader with €42 billion consolidated sales. Together, we solve complex challenges at scale, while making sure we stay committed to making the world a more inclusive and a better place for everyone & our planet.
Today, L’Oréal includes over 9k experts in beauty tech, digital, data and e-comm and is constantly growing. Championing Beauty Tech, we invent the beauty of the future while becoming the company of the future. To achieve 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.
We’re committed to guaranteeing inclusive recruitment processes and to advocating for hiring and promoting each candidate in an ethical and equitable way. The Group strictly prohibits discrimination against any applicant for employment because of the individual’s gender identity or expression, sexual orientation, visible and/or invisible disabilities, socio-economic and/or multicultural origins, health conditions, age, religion, or any other characteristics protected by law.