Real, anonymous reports from people who interviewed for Data Analyst at BBVA, newest first and distilled into what to expect across the loop.
Entré por un programa de talento joven, y el recorrido se sintió como una sucesión de filtros bien marcados. Primero tuve un examen de conocimientos, después evaluaciones psicométricas y más adelante un hackathon. Desde el inicio la experiencia fue bastante entretenida: la sensación era que querían medir tanto lo que sabía como cómo lo aplicaba bajo presión.
Arranqué con una etapa donde el principal problema fue cómo se manejó el tiempo y la coordinación. En una entrevista online, la reclutadora se conectó con retraso y no hubo disculpas ni mención clara del tema. Después, al terminar, me volvió a pedir por correo información que ya había tratado en la llamada, lo cual me descolocó.
Candidates typically begin with online assessments that focus on theoretical knowledge in areas such as probability, linear algebra, and statistics, often under timed and monitored conditions. This stage is crucial for filtering candidates based on their foundational mathematical skills.
The interview process includes a significant focus on technical skills, particularly in SQL and data manipulation, with practical assessments such as building dashboards or working with data frames. Candidates should be prepared to demonstrate their technical abilities through hands-on exercises.
Candidates will encounter interviews that assess soft skills and teamwork dynamics, often through group activities or discussions with potential managers. This aspect evaluates how well candidates collaborate and fit within the team culture.
The interview process is generally structured in multiple stages, often involving several interviews with HR, technical leads, and management. However, candidates have reported issues with communication and coordination, which can affect the overall experience.
The overall interview process can be lengthy and demanding, with multiple assessments and interviews spread over weeks. Candidates should be prepared for a rigorous selection process that may include extensive evaluations and workshops.
Candidates noted a discrepancy between their expectations of the role and the actual requirements, particularly regarding the technical depth expected in programming and data analysis. It's important for candidates to clarify role expectations during interviews.