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Datenanalyst Interview Questions

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Datenanalyst Interview Questions

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.

Typische Bewerbungsfragen als Datenanalyst (m/w/d) und wie Sie diese beantworten

Question 1

Frage 1: Mit welcher Datenanalyse-Software haben Sie bereits gearbeitet?

How to answer
So beantworten Sie die Frage: Datenanalysten nutzen für viele ihrer beruflichen Aufgaben Software. Befragende möchten mit dieser Frage Ihren aktuellen Kenntnisstand ermitteln und in Erfahrung bringen, wie viel Schulung Sie evtl. benötigen. Führen Sie alle von Ihnen verwendeten Datenanalyse-Softwareproduke auf und erläutern Sie diese. Geben Sie unbedingt alle spezifischen Software-Schulungen an, die Sie erhalten haben, sowie Beispiele dafür, wie Sie die Software bei der Arbeit eingesetzt haben.
Question 2

Frage 2: Welche statistischen Methoden sind für die Datenanalyse am nützlichsten?

How to answer
So beantworten Sie die Frage: Hier soll Ihr Verständnis der am häufigsten verwendeten statistischen Methoden geprüft werden, wie Simplex-Algorithmus, Imputation, Bayessche Methode und Markov-Prozess. Führen Sie die Datenanalysemethoden auf und besprechen Sie diese. Geben Sie dabei die besonderen Vorteile des jeweiligen Prozesses an. Nennen Sie möglichst Beispiele dafür, wie Sie bestimmte statistische Methoden bei der Arbeit eingesetzt haben.
Question 3

Frage 3: Erläutern Sie bitte, wie Sie abschätzen würden, wie viele Paar Gummistiefel im Mai in Seattle verkauft wurden.

How to answer
So beantworten Sie die Frage: In Vorstellungsgesprächen für eine Position als Datenanalyst werden häufig Schätzungsfragen dieser Art eingesetzt, um Ihr analytisches Denken und Ihre Problemlösungsmethoden zu testen. Geben Sie an, wie Sie das Problem angehen, welche Datensätze Sie benötigen, wie Sie Daten finden und welche Methoden Sie zur Berechnung einer geschätzten Antwort verwenden würden.

49,376 datenanalyst interview questions shared by candidates

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.
avatar

Senior Data Analyst

Interviewed at Agoda

3.9★
Aug 4, 2022

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.

1) Tell me about yourself 2) How to run while loop in R 3) Why data will be skewd during data cleaning with forward fill and backward fill 4) swap two variable without using third variable 5) asked about project 6) why do you want to join our company 7) where u want to see yourself after 5 years? 8) any questions for us?
avatar

Data Analyst

Interviewed at Deloitte

3.8★
May 6, 2019

1) Tell me about yourself 2) How to run while loop in R 3) Why data will be skewd during data cleaning with forward fill and backward fill 4) swap two variable without using third variable 5) asked about project 6) why do you want to join our company 7) where u want to see yourself after 5 years? 8) any questions for us?

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