business analyst for retail analytics

SPAR International is the global custodian of the SPAR brand, supporting over 13,580 stores in 50 countries across four continents and serving more than 14.7 million consumers daily. From its central Amsterdam location, the organization develops strategies and provides services that drive brand growth, retail excellence, and international expansion.

• Tackle real-world data challenges across 50+ countries by collecting, cleaning, transforming, and wrangling datasets with varying structures, quality, formats, languages, and definitions;
• Build scalable data pipelines and transformation processes to handle growing data volumes and support analytics across 50+ countries;
• Work with Microsoft Fabric to build and manage modern data workflows, including data pipelines, Lakehouse environments, notebooks, and Power BI;
• Develop interactive dashboards and reports that make complex data accessible to different audiences;
• Experiment with machine learning and AI techniques with a supervisor to uncover patterns, automate processes, and develop new analytical solutions.

• Hold a Bachelor’s or Master’s degree in Data Science, Computer Science, Information Technology, Business Analytics, or a related field;
• Have 1–3 years of work experience;
• Know Python for data manipulation and analysis;
• Understand the process of creating reports in Power BI;
• Be fluent in written and spoken English;
• Be self-motivated and able to work responsibly;
• Have strong analytical thinking skills;
• Be an excellent communicator and team player;
• Be creative and able to view data from different perspectives;
• Work independently while collaborating with colleagues;
• Nice to have: basic knowledge of AI concepts and their application in business contexts, familiarity with PySpark, understanding of data modelling for dashboards, experience with machine learning techniques.

• No conditions specified