Data Lead - Commerce

• Be the key touchpoint between Data Team and the Business, playing a role of pro-active data business partner & data usage evangelist for the area of Commerce, being an expert on 1P, 2P & 3P data based solutions, especially concerning sell-in, sell-out, stock-in-trade, distribution or other commercial KPI
• Connect business needs with international or local portfolio of products, fostering the activation, adoption and care
• Be the local Commerce Data & Analytics referral within the international community (dotted line to zone Domain Lead)
• Analyze functional requirements, translate them into technical & functional specifications, develop corresponding analytics solutions or models, if needed build MVPs and POCs with Data Factory. Propose technically sound and sustainable solutions.
• Help business with ad hoc analytics, helping to answer business questions
• Identify, manage, and utilize structured and unstructured data, considering information distribution policies and security standards.
• Conduct in-depth data analysis using statistical methods and tools to identify patterns, correlations, and anomalies.
• Collaborate with cross-functional teams (e.g., marketing, sales, business development, operations) to understand their data needs and provide data-driven recommendations.
• Translate complex data findings into clear and concise summaries, presentations, and reports for both technical and non-technical stakeholders.
• Participate in Project Planning & Performance Management by defining the business case, cost model, and objectives. Define, monitor, and manage project plans, budgets, KPIs.
• Drive continuous improvement & knowledge sharing by staying current with analytics trends and best practices to improve service delivery and share knowledge within the team.
• Facilitate divisional Commerce Data Champions community, sharing best practices or discussing issues
• Build proper documentation & quality assurance according to defined standards
• You key assessment metric will be:
• Tools adoption KPI
• Tools creation KPI
• Business Satisfaction with cooperation

• Understanding business is crucial, understanding or experience with Cosmetics Market complexity will be an extremely important added value
• A passion for data and a desire to use it to drive business impact
• Excellent communication and presentation skills
• Ability to explain complex technical or data base concepts to non-technical / non-data audiences is critical
• Data visualization tools knowledge (PowerBI usage experience & understanding way of working is a must, ability to build is a value added)
• Knowledge of data analytical tools (Excel is a must, Python, R nice to have added value)
• Strong understanding of statistical concepts and methods
• Strong attention to detail and commitment to data accuracy
• Project Management skills along with Stakeholders management will be vital

L'Oréal