Data Lead - Commerce

As Data Lead your main objective will be to drive the development and execution of innovative data and analytics products and strategies for our Commerce initiatives. You will collaborate closely with cross-divisional teams to define product requirements, prioritize features, and ensure timely delivery of high-quality solutions.

Responsibilities:

• 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
  1. Identify, manage, and utilize structured and unstructured data, considering information distribution policies and security standards.
  2. Conduct in-depth data analysis using statistical methods and tools to identify patterns, correlations, and anomalies. 
  3. Collaborate with cross-functional teams (e.g., marketing, sales, business development, operations) to understand their data needs and provide data-driven recommendations.
  4. 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:
  1. Tools adoption KPI
  2. Tools creation KPI
  3. Business Satisfaction with cooperation

Requirements:

• 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