Business Data Analyst

Company Description 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. Founded on a partnership between wholesalers and retailers, SPAR emphasizes collaboration, shared knowledge, and long-term relationships that benefit customers and partners alike. This culture of open information exchange fosters a strong sense of community within the organization. From its central Amsterdam location, SPAR International leverages the scale and resources of the global group to develop strategies and provide services that drive brand growth, retail excellence, and international expansion. As the world’s largest food retail voluntary chain, SPAR offers a dynamic environment for professionals seeking impact at a global level.

Working in our team you will develop an understanding of how our data is structured and handled before analysis. By working closely with a supervisor you will be transforming raw data into impactful and actionable business insights through data tools such as Power BI and Python.

What challenges awaits you

• Tackle real-world data challenges across 50+ countries, collecting, cleaning, transforming, and wrangling datasets that vary in structure, quality, format, language, and definitions.
• Build scalable data pipelines and transformation processes that can handle growing volumes of data and support analytics across 50+ countries.
• Work with Microsoft Fabric to build and manage modern data workflows, gaining hands-on experience with data pipelines, Lakehouse environments, notebooks, and Power BI.
• Develop interactive dashboards and reports that bring complex data to life and make insights accessible to different audiences.
• Experiment with machine learning and AI techniques, in collaboration with a supervisor, to uncover patterns, automate processes, and develop new analytical solutions.

Who you are

• Self-motivated and able to work responsibly in a remote setting.
• Adaptable with strong analytical thinking skills.
• Excellent communicator and team player.
• Creative, able to view data from different perspectives
• Prefer the smart way of working, not the hard way of working.
• Independent, yet enjoy collaborating with colleagues

Required Skills and Qualifications

• Bachelor’s or Master’s degree in Data Domain (e.g., Data Science, Computer Science, Information Technology, Business Analytics, or a related field)
• 1-3 years of work experience
• Knowledge of Python language for data manipulation and analysis.
• Understanding of the process of creating reports in Power BI.
• Fluency in both verbal and written English

Preferred Skills

• 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

Please submit your application in English