Santander Data Analyst interview typically runs 2 rounds: HR screen and manager interview. It usually takes about 2 phases and is described as professional, light, and cordial.
$96K
Avg. Base Comp
$134K
Avg. Total Comp
2
Typical Rounds
1-2 weeks
Process Length
We've seen Santander lean into a process that feels more like a professional conversation than a stress test, and this candidate experience reinforces that pattern. The strongest signal is cultural and business alignment: the interviewer wanted to know whether the candidate understood Santander’s place in the market, could speak clearly about the company, and had a credible reason for wanting to be there. In our experience, that matters especially in finance, where teams want analysts who can connect their work to the bank’s broader context rather than just talk about tools in isolation.
A recurring theme is that the technical portion stays conceptual and practical, not overly algorithmic. This candidate was asked about PySpark and Power BI, but more importantly about how those tools fit into day-to-day work and which past projects were most relevant to the role. We also see a preference for candidates who can handle open-ended scenario questions and explain how they think through adversity. The bar here is less about dazzling with complexity and more about showing judgment, clarity, and a grounded understanding of how to operate in a bank environment.
Synthetized from 1 candidates reports by our editorial team.
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Real interview reports from people who went through the Santander process.
A entrevista no Santander foi bem profissional, mas ao mesmo tempo leve, e no meu caso aconteceu em duas fases. Primeiro tive uma conversa com o RH, bem tranquila e mais voltada para comportamento. Perguntaram sobre minhas fortalezas, fraquezas e onde eu me via em cinco anos, então vale chegar preparado para falar de trajetória e motivação de forma clara. A impressão que tive é que eles queriam entender se eu tinha perfil para o banco e se eu realmente conhecia a empresa, porque também senti bastante peso em demonstrar alinhamento com a cultura, os valores e o contexto do Santander no mercado.
Depois veio a entrevista com o manager, que foi um pouco mais técnica, mas ainda assim tudo em nível conceitual. Não foi uma prova analítica pesada nem algo muito de código; a conversa girou mais em torno das ferramentas que eu usaria no dia a dia, como PySpark e Power BI, e em projetos relevantes que eu já tinha conduzido e que combinavam com a vaga. Também apareceu uma pergunta mais aberta sobre como eu lidaria com adversidade e cenários hipotéticos do tipo “como você faria isso se acontecesse tal coisa”. No geral, foi mais uma conversa do que uma entrevista tensa, e achei o processo bem humano e cordial. No fim, recebi a oferta. Minha principal dica é estudar bem o Santander, seus serviços e resultados, e conseguir conectar sua experiência prática com as ferramentas citadas na vaga, porque isso pesou bastante.
Prep tip from this candidate
Revise bem a história, cultura e valores do Santander, além de serviços e resultados do banco, porque isso apareceu como parte importante da conversa. Também vale preparar exemplos concretos de projetos relevantes e estar pronto para explicar, em nível conceitual, como você usaria PySpark e Power BI no trabalho.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Santander
Select the 2nd highest salary in the engineering department
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| Empty Neighborhoods | |
| Rolling Bank Transactions | |
| Comments Histogram | |
| Employee Salaries | |
| Closest SAT Scores | |
| Top Three Salaries | |
| Slacking Employees Salaries | |
| Experiment Validity | |
| Find the Missing Number | |
| Compute Deviation | |
| Prime to N | |
| Bagging vs Boosting | |
| Last Transaction | |
| 500 Cards | |
| Department Expenses | |
| Session Difference | |
| Rain in N Days | |
| Random SQL Sample | |
| Subscription Overlap | |
| Paired Products | |
| Bank Fraud Model | |
| Swipe Precision | |
| Hurdles In Data Projects | |
| Over-Budget Projects | |
| P-value to a Layman | |
| Third Purchase | |
| Top 3 Users | |
| Size of Joins | |
| Variable Error |
Synthesized from candidate reports. Individual experiences may vary.
A first conversation with HR focused on behavioral fit and motivation. Expect questions about your strengths, weaknesses, and where you see yourself in five years, along with discussion of your trajectory and why you want to join Santander. The recruiter also looks for clear alignment with the bank’s culture, values, and market context.
Within the HR conversation, there is a strong emphasis on whether you know Santander well enough to explain why the company is a good match for you. Candidates should be ready to speak about Santander’s services, results, and broader role in the financial market, since that understanding appears to carry significant weight.
The second stage is a conversation with the manager that is more technical, but still conceptual rather than code-heavy. The discussion covers the tools you would use day to day, especially PySpark and Power BI, plus relevant projects you have led and how they connect to the role. You may also get open-ended questions about adversity and hypothetical situations, such as how you would respond if something unexpected happened.