Nicolas D. leads Data & Analytics at Médecins Sans Frontières, where he has progressed from roles including Data Strategist. With a Masters from Université libre de Bruxelles and certifications in dbt and Python, his expertise spans data strategy, BI, and ETL. Colleagues describe him as a problem-solver, coach, and team player.
His academic work includes a publication on the elasticity of cloud databases, showcasing a foundational interest in scalable data architecture.
Read the full overview →Unless the value is proven by data, they are unlikely to value fancy features. They prefer to analyze logically and value objective facts over emotions. They like to take decisions independently and do not seek others' support often.
Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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