Data Analytics Tech Lead

We are a global community of catalysts for value creation.

We have the freedom to go beyond. That's the beauty of L'ORÉAL Finance & Legal.

At L'Oréal Finance & Legal, we are one global community of catalysts for value creation. We work across all divisions, regions and métiers to drive positive change and steer the Group to success. We are trusted copilots, embedded into every part of the organization, recognized for the quality of our business insights and reliable data.

Champions of sustainable finance and compliant business practices, we help deliver meaningful performance through our collective impact, ensuring L'Oréal stays ahead and makes decisions that create lasting financial, social and environmental value.

If you want to push boundaries, shape the future and be part of a Group deeply committed to excellence and inclusiveness, L'Oréal Finance & Legal is where you belong.

Your Mission: Architecting Data-Driven Financial Insights

You will join the Finance Data & Analytics Solution Team, a vibrant, international force within our Finance Transformation department.

Our mission is to develop and maintain robust, scalable data & analytics solutions that empower finance professionals across the Group.

We work in close collaboration with Group IT Data Teams, driving efficiency and transforming how finance operates.

You'll also be an integral partner to broader Beauty Tech Data and AI departments. Our collective ambition is to define and implement secure, efficient, and scalable analytics platforms that fuel data-driven decision-making across L'Oréal.

From standard reporting to advanced analytics and pioneering Text2Analytics, we're building the future of data at scale.

Our key challenges include:

harmonizing analytics practices, optimizing data and tool governance, enabling semantic modeling at scale, and continuously scouting for the next generation of analytics capabilities and technologies.

Our portfolio includes:

• Iclosing: An augmented analytics webapp tool integrated with Looker, delivering reactive insights for controlling and accounting teams.
• Global analytical tools: Strategic cockpits, trackers, dashboards and semantic models developed on Looker and PowerBI.
• Conversational GenAI Assistant: Pioneering the use of generative AI for finance.

What You'll Be Doing: A Blend of Vision & Execution

This role offers a unique opportunity to lead, innovate, and make a significant impact at the intersection of finance and advanced analytics.

You will help shape the vision of our analytics platform architecture, ensuring its robustness and adaptability to diverse business needs.

Main aspects of your role:

1. Strategic Product & Platform Ownership

• Define the future: Shape the product vision and priorities for our analytics platforms within the finance domain.
• Business translation: Expertly gather requirements from finance stakeholders, translating complex business needs into sustainable, impactful analytical solutions (visualizations, reports, dashboards, custom interfaces, web applications).

• Scope & Prioritize: Lead the scoping and prioritization of projects related to Analytics architecture, including semantic modeling, access governance, and monitoring.

• Architecture, Development & Delivery Excellence

• Design & Build: Design, develop, and evolve state-of-the-art analytical solutions within the Finance domain.

• Technical Leadership: Define the target architecture of the Finance Analytics stack in relation to Group Data Strategy, ensuring its scalability, performance, security, and maintainability.
• Best Practices Champion: Own and enforce development best practices and norms, ensuring high-quality outputs and guiding external consultants.
• Empower & Mentor: Guide and teach Data Analytics developers and functional teams on best practices and optimal solutions using our technological stack.
• Drive Implementation: Oversee the technical implementation of solutions in collaboration with data/IT teams.
• Continuous Improvement: Propose and implement innovative solutions, enhance user experience, consolidate documentation, analyze recurring issues, design automated tests, and transform application support from reactive to proactive.

• Semantic Layering: Structure semantic layers tailored for Self-Service BI use cases and ensure wide adoption of tools and solutions.

• Innovation & Technology Watch

• Horizon Scanning: Continuously monitor BI and analytics market trends, identifying technologies with high potential for L'Oréal, particularly within the finance context.

• Strategic Contribution: Proactively contribute to the global technical roadmap for the finance domain, focusing on data & analytics and progressively integrating AI subjects.
• Pioneer & Test: Test and recommend relevant emerging solutions (e.g., Text2Analytics, AI-augmented BI).

This is What You Will Need to Succeed

First and foremost, we're looking for individuals who 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:

Technical Mastery & Experience:

• Proven experience (7+ years) delivering large-scale data analytics applications end-to-end (design, POC, execution, run), ideally within the finance domain, with a demonstrated backlog of successful projects.
• Solid experience in BI solution development with both Google (Looker, BigQuery) and Microsoft (Power BI, Fabric) ecosystems.
• In-depth understanding of (cloud) database systems (GCP/BQ), data modeling, and semantic concepts. Advanced knowledge of SQL queries and potentially MDX, DAX, and LookML.
• Proven experience overseeing front-end development (JS, HTML, CSS, SDK, custom visualizations) for analytical interfaces is highly preferred.
• Experience in analytics solution architecture/solution lead/design.
• Experience in at least one relevant programming language (e.g., Python, R) is highly preferred.
• Experience with ETL development is a strong plus.

Functional & Project Acumen:

• Demonstrated experience and ability to work seamlessly with business users to gather requirements, manage scope, and drive adoption.
• Strong experience with Finance domain projects and intricate Finance data.
• Proven motivation to lead and mentor technical teams.
• Experience with Agile development frameworks.
• Strong time management and organizational skills, with the ability to manage multiple timelines and priorities.

Mindset & Soft Skills:

• A results-oriented mindset with a proactive, innovative, and problem-solving spirit.
• Strong team player with excellent communication skills (oral and written).
• Rigorous, detail-oriented, and highly curious with a strong capability for continuous learning and adapting to new technologies.

Education:

• Master's Degree in Computer Science, Engineering, or a relevant technical field, or equivalent work experience.

Fluent English (oral and written) is essential, French