business analyst for retail analytics

Enfint; Amsterdam; On-site; EUR 42,000 - 70,000; Full time

Job summary

SPAR International ищет специалиста по данным для центрального офиса в Амстердаме. Кандидат будет работать над сбором и очисткой данных, созданием аналитических решений и поддержкой Power BI‑отчетности.

Требуется 1–3 года опыта, знание Python и английский на профессиональном уровне. В задачи входит взаимодействие с командой и развитие аналитических подходов с применением ML/AI.

Qualifications

• Наличие диплома в области Data Science/CS/IT/Business Analytics.
• 1–3 года практического опыта работы в соответствующей области.
• Умение манипулировать данными на Python.

Responsibilities

• Решать реальные задачи данных в 50+ странах, собирая, очищая и трансформируя наборы данных.
• Строить масштабируемые конвейеры данных и процессы трансформации.
• Работать с Microsoft Fabric для управления потоком данных, окружениями Lakehouse, ноутбуками и Power BI.
• Разрабатывать интерактивные панели и отчеты, делающие данные доступными.
• Экспериментировать с ML/AI методами под руководством наставника для автоматизации процессов.

Skills

Python

Power BI

Fluent English

Analytical thinking

Communication

Team player

Self-motivated

Independent work

Education

Bachelor's or Master's degree in Data Science

Bachelor's or Master's degree in Computer Science

Bachelor's or Master's degree in Information Technology

Bachelor's or Master's degree in Business Analytics

Tools

PySpark

Job description

Описание

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.

Задачи

• 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

Требования

• 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

Условия

No conditions specified