Senior Data Analyst

About the job

CIRCLE K HOVEDKONTOR is seeking a Senior Data Analyst to join their European Data & Analytics team. This role will support the Merchandising organization by translating complex business questions into actionable insights and scalable analytical solutions.

Responsibilities

• Partner with European Merchandising, Category and other business teams to understand priorities, define business questions and translate them into analytical requirements and measurable KPIs.
• Apply advanced analytical techniques such as forecasting, clustering, regression, hypothesis testing, causal impact analysis and other statistical methods.
• 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.
• 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

• 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.
• Hands-on experience applying analytical methods such as forecasting, regression, hypothesis testing, clustering and A/B tests, including checking model accuracy on past data and showing the uncertainty in the results.
• 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.
• Experience developing dashboards and analytical solutions using tools such as Power BI or similar BI platforms.
• Ability to independently structure ambiguous business problems and drive analytical work from initial question through delivery.
• Excellent communication skills in English, both written and verbal, with the ability to explain complex analytical concepts to non-technical audiences.
• Strong stakeholder-management skills and the ability to collaborate effectively across functions, countries and levels of seniority.
• Ability to manage multiple priorities and communicate timelines, dependencies and risks clearly.

Personal qualities

• You think analytically, commercially and pragmatically.
• You are curious and enjoy understanding both the business problem and the data behind it.
• You are comfortable with ambiguity and can bring structure to complex problems.
• You take ownership and can independently drive work through to completion.
• You build strong relationships with stakeholders and are comfortable constructively challenging assumptions using data.
• You can translate complex information into clear, compelling and actionable insights.
• You value collaboration and actively share knowledge and best practices with colleagues.
• You are adaptable and interested in continuously developing your business and technical capabilities.

We offer

• Opportunity to contribute to the continued development of Circle K’s merchandising analytics capabilities.
• Collaboration with an experienced international analytics team.

How to apply

Apply by the deadline of 2026-12-01.