Senior Data Analyst - European Merchandising Analytics

circlek; Dublin; On-site; EUR 70,000 - 95,000; Full time

Job summary

Circle K is seeking a Senior Data Analyst for its European Data & Analytics team to support the Merchandising organization across markets. You will translate business questions into insights, lead analytics projects, and deliver scalable dashboards, collaborating with data engineers and stakeholders across Europe.

You will work independently to define problems, analyze data, and present clear recommendations to multiple colleagues and senior leaders across Europe.

Qualifications

• A higher degree in an analytical field such as data science, statistics, or related discipline.
• 3+ years of analytics, data science, BI, or related role.
• Experience turning complex data into actionable business recommendations.
• Experience in retail/merchandising analytics is a plus.
• Experience with SQL and Python/PySpark; cloud platforms like Databricks/Azure is a plus.
• Experience building dashboards with Power BI or similar.

Responsibilities

• Partner with European Merchandising and other teams to translate priorities into analytical requirements and KPIs.
• Lead analytics projects from problem definition through recommendations and stakeholder communication.
• Develop actionable insights on category performance, assortment, pricing, promotions, and customer behavior.
• Design and evaluate experiments and pilots with test design and measurement.
• Develop scalable dashboards and reporting solutions for monitoring performance.
• Collaborate with Data Engineering and Technology to improve data quality and reusable analytics.
• Translate findings into clear, actionable recommendations for technical and non-technical audiences.
• Present insights to stakeholders and contribute to decision-making across Europe Merchandising.
• Share knowledge and best practices across teams.

Skills

Analytical thinking

Problem solving

Stakeholder management

Communication skills

Time management

Education

Master's degree in Analytics or related field

Bachelor's degree in a quantitative field

Tools

SQL

Python

PySpark

Databricks

Azure

Power BI

Job description

Job Description

Senior Data Analyst - European Merchandising Analytics

Department: Data & Analytics

Location: Dublin, Ireland

Type: Fixed-term 2-year contract / parental leave backfill

We're seeking an experienced and commercially minded Senior Data Analyst to join our European Data & Analytics team and support our Merchandising organization.

As a Senior Data Analyst, you will be a trusted analytics partner to European Merchandising and Category teams, helping translate complex business questions into actionable insights and scalable analytical solutions. You will work across multiple categories, markets and stakeholders, using transactional, financial, customer and operational data to identify opportunities and improve business performance. This role requires a strong combination of analytical capability, commercial understanding and stakeholder management. You should be comfortable independently leading analytical work from problem definition through recommendation, while collaborating with analysts, data scientists, technology teams and business stakeholders across Europe.

You will join an experienced international analytics team and have the opportunity to contribute to the continued development of Circle K's merchandising analytics capabilities.

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.
• Experience developing dashboards and analytical solutions using tools such as Power BI or similar BI platforms.
• Familiarity with analytical methods such as exploratory data analysis, hypothesis testing, regression, forecasting, clustering and business experiments and A/B tests.
• 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 QUALI