Interview Guides
Everything we know about interviewing at Ernst & Young Advisory Services Sdn Bhd: the process stage by stage, what each round tests, compensation by level, and reports from candidates who interviewed.
What the process looks like, and what Ernst & Young Advisory Services Sdn Bhd is really testing for.
EY Advisory Services Sdn Bhd runs a mix of HR screening and technical or case-study interviews. Across reported roles, candidates typically walk through business scenarios and analytical tasks, with separate stages meant to check fit, motivations, and communication in a consulting environment.
What they test is strongly weighted toward practical engineering and AI skills. Your preparation should cover SQL (very prominent), Python, cloud computing, Kubernetes, Docker, Spring Boot, and DevOps practices, plus GenAI and retrieval augmented generation topics, alongside problem solving and communication and collaboration.
Expect a loop that can range from straightforward and quick to multi stage and long running. Candidate reports include cycles described as roughly a month and a half, and others stretching from around November to early April, with outcomes often being no offer or reserve list rather than a formal offer.
Your strongest signal for success is matching the role with the technical stack they repeatedly probe: SQL, Python, cloud plus containers or Kubernetes, and GenAI plus RAG concepts show up as highly prominent topics in the extracted question data.
5 stages, based on 500 candidate reports.
You do an HR led call focused on background, motivations, and fit for the role. Some reports describe it as a resume and role fit chat, including practical discussion like compensation and notice period.
You may complete an online assessment or consulting game testing quantitative and logical reasoning, plus situational judgment. At least some candidates describe the online stage as manageable or not especially hard.
You participate in one or more technical and case study interviews where you work through business scenarios and demonstrate analytical skills and problem solving. The topic mix in the extracted data indicates deep coverage for SQL and Python, cloud computing, plus engineering practices like Docker and Kubernetes, and AI topics like GenAI and retrieval augmented generation.
You discuss past experiences and how you work with others, with emphasis on communication skills, collaboration, and cultural fit in a consulting environment. Some reports describe additional HR group formats or combined HR and manager sessions after assessments.
Some candidates describe manager and senior manager conversations as the last steps, sometimes paired with compensation discussion or a final fit check. Other candidates report that the process can pause due to approvals, or that there was no final feedback.
How often each skill shows up across reported interview loops.
Each guide has the questions Ernst & Young Advisory Services Sdn Bhd interviewers actually ask, the loop structure, and total compensation by level.
Estimated total compensation: base salary plus stock and annual cash bonus.
Patterns from candidates who got offers, and the mistakes that most often sink a loop.
Read what candidates said about interviewing at Ernst & Young Advisory Services Sdn Bhd: the loop, difficulty, and outcomes, straight from recent reports for each role.
Answered from real candidate and workplace data, marked up for rich results.
Verbatim snippets pulled from employee and candidate reviews.
A flexible work environment exists, but the long hours can be challenging.
Be prepared for a high level of commitment, as the workload can be intense.
Long hours and being constantly on call for clients can be quite demanding.
The flexibility in the work environment is a significant advantage.
The work-life balance is commendable, supported by a strong team environment.
The lack of a salary review process and non-transparent promotion criteria are significant drawbacks.
Companies that hire for the same data roles, with the same depth of prep.
