Manager, Intelligence Consommateur et Marché (CMI) – CDMO

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.

As the "voice of the consumer," you are a strategic partner who transforms complex data into clear recommendations. Your mission is to guide Marketing teams and General Management in their decision-making by analyzing consumer behavior, market trends, and the competitive landscape to identify growth opportunities.

MAIN MISSIONS : Data Analysis

• Analyze multiple data sources (market data, consumer panels, consumer studies, consumer interviews, social listening etc.. to answer business questions.

• Identify, evaluate, and integrate new consumer and business intelligence sources (including Amazon Marketing Cloud AMC, e-commerce analytics platforms, competitive intelligence, etc…) to enrich our market and consumer understanding

• Develop a 360° vision by integrating and connecting consumer, shopper, social and market data.

• Identify and analyze emerging trends (macro, consumer shifts, categories, social) to anticipate future shifts.

• Competitive Intelligence: Sharp market curiosity and analytical ability to dissect competitor strategies, identify market gaps, and anticipate emerging industry trends

Storytelling and Visualization

• Translate analyses into impactful, visual, and narrative-driven presentations.
• Build presentations on key consumer targets, beauty categories and macro trends.
• Write clear and objective analysis summaries.

Strategic Partnership

• Collaborate with Marketing teams to define high-potential consumer segments for Consumer Acquisition
• Identify growth "white spaces" within categories.
• Work with the Digital team to analyze social listening data and e-commerce performance.

REQUIRED SKILLS: Technical Skills (Hard Skills)

• Data Mastery: Excellent ability to manipulate and interpret large datasets (advanced Excel, panels like Nielsen, social analytics tools).
• Analytical Rigor: Precision and meticulous attention to detail in numerical analysis.
• Statistical Literacy: critically read, interpret, and evaluate basic data and percentages, while understanding key research principles such as sample size and margin of error.
• Data Integrity & Objective Analysis: Ability to assess data reliability, identify biases, avoid drawing false conclusions and present research findings with complete neutrality
• Data Storytelling & Presentation: Strong ability to synthesize complex data into simple, clear, visual, and persuasive presentations tailored to diverse audiences, creating highly actionable insights for business impact
• AI-savvy: Highly comfortable with leveraging AI tools for productivity or analysis.

Behavioral Skills (Soft Skills)

• Consumer-Centric Mindset: A genuine passion for decoding consumer behavior, trends, and motivations to drive brand/category strategy.
• Curiosity and Critical Thinking: Willingness to go beyond the numbers to understand the "why" behind trends.
• Strategic Vision: Ability to connect information from diverse sources to see the "big picture
• Integrator: Excellent collaboration skills to work at the crossroads of different teams

Fluent in French and English is a great asset

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.