ING-DiBa Data Analyst candidates report an HR screen, an early combined behavioral and live-SQL interview, and a final fit-focused conversation. Prepare to explain SQL reasoning, normalization, and your working style clearly.
$98K
Avg. Base Comp
$122K
Avg. Total Comp
3 rounds
Typical Rounds
2-4 weeks
Process Length
The clearest Data Analyst report describes a process that starts with an HR screening, then moves quickly into a demanding combined interview, followed by a final conversation centered on character and behavioral fit. The middle conversation is the one to take most seriously: live SQL may appear alongside behavioral assessment, rather than being reserved for a separate technical round.
Prepare to reason aloud about SQL behavior, not merely produce syntax. One candidate was shown two nearly identical queries and asked whether they returned the same output; another prompt covered data normalization. A strong practice approach is to compare query logic step by step, state the assumptions that affect results, and explain normalization in terms of how a data structure avoids avoidable duplication or inconsistency.
Because the technical and character portions were combined in the reported process, connect your problem-solving style to concrete analytical work: explain how you check your logic, communicate uncertainty, and stay structured under live questioning. The final interview was reported as behavioral and fit-focused, so have concise examples ready on collaboration, feedback, and motivation. One detailed Data Analyst account supports this sequence, so individual processes may vary.
Synthesized from 2 candidate reports by our editorial team.
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Real interview reports from people who went through the Ing-Diba process.
The part that stood out to me most was how business-focused the process was from the very beginning. I went through a four-stage interview process that started with an online test focused on analytical skills and business sense, followed by two case-based interviews and a final conversation that felt more like a fit and motivation check than a purely technical screen. The cases were less about trick questions and more about how I structured my thinking, communicated clearly, and connected my analysis to client value.
One of the questions I remember most was how I would create value for clients from day one, given the company’s positioning and the sector-specific challenges its clients face. That question set the tone for the process: the interviewers wanted to see whether I could think commercially rather than simply run numbers. Overall, the interviews felt smooth and natural. I did not feel that the interviewers were trying to trip me up; they were more interested in whether I could reason through practical situations calmly, explain my approach clearly, and connect my recommendations to business impact. My main takeaway is to prepare for case-style questions tied to client value, have a concise explanation of why I want the role, and be ready to describe how I could add value quickly.
Prep tip from this candidate
Practice answering client-value case questions out loud, especially prompts like how you would create value from day one. Also be ready to discuss your SQL level, Excel, and, if the role is fraud-related, AML/KYC and practical fraud scenarios clearly and concisely.
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Sourced from candidate reports and verified by our team.
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Synthesized from candidate reports. Individual experiences may vary.
One Data Analyst candidate reported beginning with an HR screening. Be prepared to introduce your background and motivation succinctly, while recognizing that the report does not specify the exact questions or length of this conversation.
A candidate reported that the first substantive interview combined character assessment with live SQL. Questions included data normalization and whether two nearly identical SQL queries would produce the same output, emphasizing careful reasoning about query behavior.
The same candidate described a final interview focused only on character and behavioral fit. Prepare examples that show how you work with others and explain your choices, but do not assume every ING-DiBa process uses identical prompts.
