Data Analyst Intern applicants have rated the interview process at BNP Paribas with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 63.3% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at BNP Paribas as a Data Analyst Intern according to 1 Glassdoor interviews include:
Skills test: 33%
Personality test: 33%
Group panel interview: 33%
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I applied online. I interviewed at BNP Paribas (Paris) in May 2026
Interview
The interview process at BNP Paribas generally includes an initial HR screening followed by one or two interviews with managers or team members. Candidates are usually assessed on their motivation, communication skills, technical knowledge, and previous experiences related to the role. Depending on the position, the process may also include technical or analytical tests before the final hiring decision.
Interview questions [1]
Question 1
One of the main questions they asked me was to introduce myself and explain how my background and experiences relate to the position I applied for. They were also interested in understanding my motivation for joining BNP Paribas and my interest in the field of data analysis.
Achei desnecessário 2 pessoas para fazer a entrevista técnica (sendo total de 3 intrevistadores).
Em comparação com outras entrevistas que tive, não sabem tão bem deixar a pessoa confortável e acho que deviam falar apenas no final sobre a empresa e não no ínicio.
I applied online. The process took 3 weeks. I interviewed at BNP Paribas (Madrid) in Oct 2025
Interview
El proceso constó de tres etapas principales. Primero, una entrevista telefónica de selección con recursos humanos donde se discutieron mis conocimientos técnicos y motivaciones. Luego, una entrevista técnica virtual con el equipo de análisis de datos, donde resolví casos prácticos de SQL y Python. Finalmente, una entrevista presencial con el gerente del departamento enfocada en competencias conductuales y ajuste cultural con el equipo.
Interview questions [1]
Question 1
P: ¿Cuál es tu experiencia con SQL y Python para análisis de datos?