Data Analyst

Location: Amsterdam
Experience Level: Passion over experience (open to all levels)

About the role:
This role focuses on maximising value from brand data for international clients. The work combines analytical and technical tasks.

Key responsibilities (time allocation):
• Dashboard Design (65%)
• Data Analysis (20%)
• Data Modelling (15%)
• Develop technical and model architecture for the client.
• Build robust ETL pipelines to ingest raw data.
• Conduct thorough analyses using tools such as Python to generate insights.
• Deploy models and build scalable APIs for real-time predictions.
• Guide clients toward higher “Data Maturity.”

Requirements:
• Required: BI tools (Power BI, Qlik, Tableau), Python and SQL, ETL knowledge, Fluent English, and Passion.