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Type: Fixed-term 2-year contract / parental leave
Responsibilities / Accountabilities
Partner with European Merchandising, Category and other business teams to understand priorities, define business questions and translate them into analytical requirements and measurable KPIs.
Act as a data-driven thought partner to business stakeholders, providing insights and constructively challenging assumptions and priorities based on data.
Evaluate category and commercial performance using transactional, financial, customer and operational data, identifying trends, opportunities and areas requiring action.
Independently lead analytics projects from problem definition and data exploration through analysis, recommendation and stakeholder communication.
Develop actionable insights related to areas such as category performance, assortment, pricing, promotions, customer behavior and other merchandising initiatives.
Design and evaluate business experiments and pilots, including test design, measurement methodology, performance evaluation and interpretation of results.
Apply advanced analytical techniques where appropriate, including forecasting, clustering, regression, hypothesis testing, causal impact analysis and other statistical methods.
Develop and improve scalable dashboards, analytical tools and reporting solutions that enable business teams to monitor performance and make better decisions.
Collaborate with Data Engineering, Technology and other Data & Analytics teams to improve data quality, analytical datasets and reusable analytics capabilities.
Identify opportunities to automate recurring analytical processes and improve the efficiency and scalability of analytics delivery.
Translate complex analytical findings into clear, concise and actionable recommendations for both technical and non-technical audiences.
Present insights and recommendations to stakeholders and contribute to decision-making across European Merchandising.
Contribute to a collaborative analytics community by sharing knowledge, methodologies and best practices across teams and geographies.
Perform other related duties as assigned.
Qualifications & Experience
A higher degree in an analytical discipline such as Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Finance or a related field.
3+ years of experience in analytics, data science, business intelligence or a related analytical role.
Strong analytical and problem-solving skills, with demonstrated experience turning complex data into actionable business recommendations.
Experience in retail, merchandising, category management, FMCG, e-commerce or other commercial analytics environments. Experience analyzing pricing, promotions, assortment, category performance or customer behavior.
Experience working with large datasets using SQL and analytical/programming tools such as Python, PySpark. Experience with Databricks, Azure or other cloud-based analytics platforms is a plus.