Senior Data Analyst – European Merchandising Analytics

About the role

Circle K Business Centre is looking for an experienced, commercially minded Senior Data Analyst to join its European Data & Analytics team and support the Merchandising organization. The role is a fixed-term 2-year contract covering parental leave backfill, based in Riga, Latvia. You will act as an analytics partner to European Merchandising and Category teams, turning complex business questions into actionable insights using transactional, financial, customer and operational data.

Key responsibilities

• Work with Merchandising, Category and other business teams to define business questions and turn them into analytical requirements and measurable KPIs.
• Apply advanced techniques such as forecasting, clustering, regression, hypothesis testing and causal impact analysis.
• Evaluate category and commercial performance and identify trends, opportunities and areas needing action.
• Lead analytics projects independently, from problem definition and data exploration through analysis, recommendation and stakeholder communication.
• Design and run business experiments and pilots, including test design, measurement and result interpretation.
• Develop dashboards, analytical tools and reporting solutions, and improve data quality and reusable analytics capabilities with Data Engineering and Technology teams.
• Automate recurring analytical processes and present clear recommendations to technical and non-technical audiences.

Required profile

• Degree in an analytical discipline such as Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics or Finance.
• 3+ years of experience in analytics, data science, business intelligence or a related role.
• Experience in retail, merchandising, category management, FMCG, e-commerce or similar commercial analytics environments.
• Ability to independently structure ambiguous business problems and drive work through to completion.
• Excellent written and spoken English and strong stakeholder-management skills.

Required skills

• SQL and programming tools such as Python and PySpark; experience with large datasets.
• Dashboards and BI tools such as Power BI or similar.
• Forecasting, regression, hypothesis testing, clustering and A/B tests, with checks on model accuracy.
• Plus: Databricks, Azure or other cloud analytics platforms, and experience with AI agents or AI coding tools.

What we offer

• Starting monthly salary from 2,800 EUR gross.
• Covered tariff plan for your mobile phone and health insurance.
• Employee discounts in the stores.