In einem Vorstellungsgespräch für eine Position als Datenanalyst stellen Arbeitgeber Fragen, die Ihren technischen Kenntnisstand ermitteln sollen, darunter die Frage, wie vertraut Sie mit Datenanalyse-Software, Datenanalyse-Terminologie und statistischen Methoden sind. Befragende können auch abschätzende Fragen stellen, um mehr über Ihre Problemlösungkompetenz und Ihre kreative Denkweise zu erfahren.
4 rounds of technical interview was based on job profile of analyst i.e. Java, SQL, DB, Analytical skills, small part of UI and python skills, ETL and data science. And last was of HR round which actually tries to understand background check and required details.
Where do you see your self after 5 years.
why monzo, why this role, walk me through your cv
Previous experience with applicable / relatable skills
Why should we hire you? What is your salary expectation? What do you expect from your managers? What bothers you at work?
Below was the Case Study I received: Most of the time, the primary goal of launching a new feature on Agoda website is to increase the number of bookings. One way to increase the number of bookings and conversion rate is to encourage users to complete their bookings as fast as possible. The call-to-action message that helps us achieve that is internally known as an ‘urgency message’. Examples of urgency messages are: * “Prices have been rising. Book now to lock in your rates!” * “Your check-in is fast approaching. Book now to lock in your rates!” For this case imagine you will be presenting to two people: one is our head of analytics who is most interested in the math, and one is our head of strategy who is most interested in how your proposal will be implemented and end up being successful. Ensure your presentation addresses both. The team would like to understand the movement of the price as booking date approaches check-in date and hear your suggestion on business opportunity. Attached is a randomly sampled booking data from five different cities with check-in between 10/10/2016 – 12/31/2016. Please analyze the data and prepare a presentation in any format of preference (i.e. PowerPoint, keynote, or pdf). You will have about 30 minutes to present your findings and proposal to the management as well as answering any questions they may have. Our management team is highly analytical and data driven hence you should include any detailed analysis or data findings you have done for this project.
Case study based questions where you need to share your point of view
what is 14 times 16
Basic questions about SQL, Excel, Python.
Write 2 SQL queries using analytical functions.
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