Senior Data Analyst – European Merchandising Analytics - Circle K

• 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.