Analyste Interview Questions

Analyste Interview Questions

L’analyste exerce dans différents domaines et examine en détail des problèmes complexes dans le but de trouver des solutions. Les employeurs recherchent des candidats dotés de fortes capacités d’analyse et de résolution de problèmes, doublées d’une connaissance approfondie du domaine concerné. Pour en savoir plus sur les questions spécifiques qui vous seront posées, renseignez-vous sur des postes particuliers tels que consultant fonctionnel, analyste financier, analyste programmeur ou data analyst.

Questions d'entretien d'embauche fréquentes pour un analyste (H/F) et comment y répondre

Question 1

Question 1 : Quelles sont selon vous les principaux atouts d’un analyste ?

How to answer
Comment répondre : Dressez la liste des critères techniques et comportementaux qui s’appliquent au poste. Votre réponse doit inclure les compétences spécifiques recherchées par un employeur ainsi que les capacités/qualités appréciées.
Question 2

Question 2 : Comment réagissez-vous face aux modifications des exigences ?

How to answer
Comment répondre : Cette question a pour but de tester votre sens logique et vos capacités à résoudre les problèmes. Il est important de discuter de votre aptitude à hiérarchiser les changements, évaluer leur impact sur les projets et les ressources, et identifier les divergences qu’ils créent au niveau technique et fonctionnel.
Question 3

Question 3 : Quel(s) outil(s) ou système(s) d’informatique décisionnelle avez-vous déjà utilisés ?

How to answer
Comment répondre : Citez les outils/systèmes en précisant comment vous les avez utilisés ; si parmi eux se trouve un outil/système auquel a recours l’entreprise pour laquelle vous passez l’entretien, il est important de le souligner. Si vous ne connaissez pas la technologie utilisée par l’entreprise, indiquez comment vous envisagez de vous y former.

434,082 analyste interview questions shared by candidates

Question 5 : An ad campaign has a CPC = $0.5, a conversion rate = 3% and an average transaction value of $260.What is the Cost of Sales of the campaign (cost of the ad campaign divided by the revenues generated, in percentage)? Question 6 : With a margin on revenues of 13%, an average transaction value of $290 and a conversion rate = 0.7%, what is the maximum CPC an advertiser can afford without losing money (in dollar)? Question 7 : During his browsing, a user is randomly exposed to two ad banners A & B. Those two banners are equally likely to be shown. One and only one banner is shown per page. After two pages of browsing, what’s the probability that the user was shown only banners A (in percentage)? Question 8 : A/B Testing campaign: Measuring the impact of Criteo retargeting ads compared to a control group. Number of transactions on client site : • Group A exposed to Criteo banners 600,000 • Group B Control group not exposed 50,000a. b. What incremental revenues per user CompanyA has generated for the client advertiser (in dollar, rounded to the cent)? c. What total incremental revenues CompanyA has generated for the client advertiser? Total incremental revenue is simply the incremental revenue per user multiplied by the number of users exposed to Company A's retargeting. d. With $200.000 revenues following clicks on banners for group A (post click), what is the related post view (view through) effect in revenues generated by CompanyA campaign? View through effects on revenues are a bit tricky as they would require view through conversion tracking. A post impression visit that results in a transaction can be credited as a 'view through conversion'. If CompanyA is not tracking revenue on post-impression ('view through') visits, then you can estimate it by taking the average revenue per transaction - in this case $200,000 - and divide it by the number of post-click transactions in group A. This would give you the average revenue per transaction, often referred to as Average Order Value. You could then take the Average Order Value and multiply it by the number of view through conversions generated by Company A.

Question 5 : An ad campaign has a CPC = $0.5, a conversion rate = 3% and an average transaction value of $260.What is the Cost of Sales of the campaign (cost of the ad campaign divided by the revenues generated, in percentage)? Question 6 : With a margin on revenues of 13%, an average transaction value of $290 and a conversion rate = 0.7%, what is the maximum CPC an advertiser can afford without losing money (in dollar)? Question 7 : During his browsing, a user is randomly exposed to two ad banners A & B. Those two banners are equally likely to be shown. One and only one banner is shown per page. After two pages of browsing, what’s the probability that the user was shown only banners A (in percentage)? Question 8 : A/B Testing campaign: Measuring the impact of Criteo retargeting ads compared to a control group. Number of transactions on client site : • Group A exposed to Criteo banners 600,000 • Group B Control group not exposed 50,000a. b. What incremental revenues per user CompanyA has generated for the client advertiser (in dollar, rounded to the cent)? c. What total incremental revenues CompanyA has generated for the client advertiser? Total incremental revenue is simply the incremental revenue per user multiplied by the number of users exposed to Company A's retargeting. d. With $200.000 revenues following clicks on banners for group A (post click), what is the related post view (view through) effect in revenues generated by CompanyA campaign? View through effects on revenues are a bit tricky as they would require view through conversion tracking. A post impression visit that results in a transaction can be credited as a 'view through conversion'. If CompanyA is not tracking revenue on post-impression ('view through') visits, then you can estimate it by taking the average revenue per transaction - in this case $200,000 - and divide it by the number of post-click transactions in group A. This would give you the average revenue per transaction, often referred to as Average Order Value. You could then take the Average Order Value and multiply it by the number of view through conversions generated by Company A.

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