the business case started with a bunch of data in a google sheet where you had to figure out where the problem was (in this case customers passing the KYC and being active on the platform) and ask relevant questions (marketing channels, creatives, conversion rates for each etc) to receive the extra data; super important to formulate your answer in a MECE format and summarize it all at the end
N/A. Case studies may vary.
1. Tell me about yourself 2. Share with me a complex project that you have conducted before
HackerEarth aptitude assessment, take-home task related to big data analysis and SQL Use case from the interview: an automated Transaction monitoring system created and managed by a team of developers checks 1 million transactions over a time period t, and generates 1000 potential money-laundering related transactions for the AML team to review. The AML team consists of 10 AML professionals who review those transactions, and ultimately classify 300 of them as Money-Laundering transactions and 700 as non-Money-Laundering transactions. Questions: Describe various metrics to determine the efficiency of both the teams, how to ensure the system is working properly, where/at which level would you measure the efficiency for the AML team?
What is one project you worked on that you would like to highlight?
Why this role/ why are you thinking of changing jobs? Tell us your proudest achievement. Talk about a time where you went above and beyond for a client and it lead to a better outcome than if you had just done what was expected of you. What experience do you have working with difficult stakeholders?
Calculate the income of a local starbucks
Describe time you used analytics for a project?
Mainly doing standardised tests and not getting any feedback from it
Behavior questions mostly, and a case interview
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