Candidates describe Standard Chartered data analyst interviews as an online assessment followed by HR, hiring-manager or panel conversations, with CV questions, an Excel test or case study, and behavioral scenarios.
$85K
Avg. Base Comp
$100K
Avg. Total Comp
4-5 rounds
Typical Rounds
Not reported
Process Length
Three candidates describe Standard Chartered data analyst interviews that start online and end with conversations about how you think, rather than a long technical grilling. The formats differ, so treat the details below as individual experiences, not a fixed loop.
One candidate who applied through campus began with a psychometric test and a three-question coding test, then met an online panel. Another reported an HR screen, a hiring-manager round, a timed Excel assessment and a final meeting with two senior leaders. A third described a five-round process that opened with a reasoning and aptitude screen and included a group case study.
The most consistent theme is owning your CV. The candidate who received an offer was pressed on every project and tool listed, was asked about Power BI and Tableau, and met no coding challenges or complex SQL. Another was asked to explain why particular models and libraries were chosen over alternatives. A third faced basic SQL, Python and Git questions alongside bank and job-scope questions.
Behavioral judgment matters too. One panel asked how the candidate would resolve a dispute between team members. In the Excel exercise, precision under a strict time limit was the test. In one final round, the candidate was asked how to build metrics to assess model performance. Practice narrating your reasoning out loud, and be ready to share something about yourself that is not on your resume.
Synthesized from 7 candidate reports by our editorial team.
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Real interview reports from people who went through the Standard Chartered Bank process.
I went through four rounds at Standard Chartered for a Data Analyst role. The first was an HR screening, pretty standard stuff—they wanted to understand my background and why I was interested. Then came the hiring manager round, which was more technical. They dug into my previous projects, asking me to explain the models I'd used, why I chose them over alternatives, and what libraries and tech stack I worked with. I walked through my reasoning, but the conversation felt surface-level at times.
The third round was a written test. I was sent an Excel assessment with a strict time limit and a dataset I had to organize and analyze according to specific instructions. It was straightforward but required precision and speed. After that came the final round with the global heads of the IA team—two senior leaders conducting what was supposed to be a comprehensive deep dive. This is where things got weird. One of the interviewers spent the entire session smirking, asking tactless questions like 'so your analytics experience is mostly just Excel?' in a tone that felt dismissive rather than curious. The conversation never really recovered from that vibe. They asked probing questions about analytics acumen, problem-solving, and how I'd create mathematical metrics to assess model performance, but the interpersonal dynamic was so uncomfortable that it was hard to think straight. I left feeling like the outcome was predetermined, and sure enough, no offer came through. The whole experience left a sour taste—not because the bar was high, but because the final round felt less like an interview and more like a performance I wasn't meant to pass.
Prep tip from this candidate
Prepare detailed explanations of your past projects with strong justification for model and library choices—they'll probe this hard. Also, be ready for an Excel-based technical assessment with time constraints. Most importantly, know that the final round involves senior leadership and will test your ability to articulate analytics concepts under pressure, including how you'd build metrics to evaluate model performance. The interpersonal dynamics can be unpredictable, so stay focused on your technical narrative regardless.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
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Synthesized from candidate reports. Individual experiences may vary.
Reports describe an online screen before any live conversation. One campus applicant took a psychometric test followed by a coding test with three questions. Another candidate's opening assessment tested basic reasoning and aptitude. Expect timed, fast-moving questions, and check your invitation for the exact format.
One candidate began with an HR screening on background and interest in the role, then had a hiring-manager round that dug into past projects, the models used, alternatives considered, and the libraries and tech stack. Another hiring-manager interview mixed project questions with behavioral discussion and probed everything on the CV, including Power BI and Tableau experience.
Two candidates described hands-on work. One received a timed Excel assessment with a dataset to organize and analyze following specific instructions, which rewarded precision and speed. The candidate who received an offer joined a group interview with a case study on a practical business problem, where the focus was thought process and how findings were communicated.
One candidate's online panel was mostly behavioral and value-based, with resume questions, a team-dispute scenario, and basic SQL, Python and Git. Another candidate's final round was with two global heads of the IA team, covering analytics acumen, problem-solving and how to build metrics to assess model performance. Prepare to explain your reasoning clearly under pressure.
