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Circle K

Global convenience stores and fuel stations

Senior Data Analyst - European Merchandising Analytics

Data SciencePosted on Nov 11
Full-timeRiga, Latvia€2.8k /moIn-person

About the Job

Requirements

  • A higher degree in an analytical discipline such as Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Finance or a related field is required.
  • At least 3 years of experience in analytics, data science, business intelligence or a related analytical role is required.
  • Strong analytical and problem-solving skills, including demonstrated experience turning complex data into actionable business recommendations, are required.
  • Hands-on experience applying forecasting, regression, hypothesis testing, clustering and A/B testing is required, including checking model accuracy on past data and communicating uncertainty in results.
  • Experience in retail, merchandising, category management, fast-moving consumer goods, e-commerce or another commercial analytics environment is required, including analysis of pricing, promotions, assortment, category performance or customer behavior.
  • Experience working with large datasets using SQL and analytical or programming tools such as Python and PySpark is required.
  • Experience developing dashboards and analytical solutions using Power BI or similar business intelligence platforms is required.
  • Ability to structure ambiguous business problems independently and drive analytical work from the initial question through delivery is required.
  • Excellent written and verbal English communication skills are required, including the ability to explain complex analytical concepts to non-technical audiences.
  • Strong stakeholder-management skills and the ability to collaborate across functions, countries and seniority levels are required.
  • Ability to manage multiple priorities and communicate timelines, dependencies and risks clearly is required.

Responsibilities

  • Partner with European Merchandising, Category and other business teams to understand priorities, define business questions, and translate them into analytical requirements and measurable key performance indicators.
  • Apply advanced analytical techniques where appropriate, including forecasting, clustering, regression, hypothesis testing, causal impact analysis and other statistical methods.
  • Provide data-driven insights to business stakeholders and constructively challenge 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.
  • Lead analytics projects independently from problem definition and data exploration through analysis, recommendations and stakeholder communication.
  • Develop actionable insights on 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 help business teams monitor performance and make 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 technical and non-technical audiences.
  • Present insights and recommendations to stakeholders and contribute to decision-making across European Merchandising.
  • Share knowledge, methodologies and best practices across analytics teams and geographies.
  • Perform other related duties as assigned.

Desired Qualifications

  • Experience using AI agents or AI coding tools to automate analysis work, or building simple AI tools for business users, is a plus.
  • Experience with Databricks, Azure or other cloud-based analytics platforms is a plus.

About the Company

Circle K

Global convenience stores and fuel stations

Circle K operates an international network of convenience stores and fuel stations across Europe. At each location, customers can refuel or fast-charge electric vehicles, wash their car, and purchase coffee, fresh food and everyday items, plus access fuel cards and mobility services for business fleets. The experience is a one-stop shop where customers can pay at the pump, add services like car wash, and manage fleet needs through integrated mobility solutions. By combining a large network with fuels, charging, quick-service food, and fleet tools, Circle K differentiates itself from rivals and aims to serve both individual drivers and businesses with convenient energy and mobility options.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Tempe, AZ
Founded
1951

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