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Analista De Datos Interview Questions

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Analista De Datos Interview Questions

En una entrevista para un puesto de analista de datos, se te formularán preguntas que ayuden a determinar tus habilidades técnicas, incluido tu dominio del software de análisis de datos, de la terminología relacionada y de los diferentes métodos estadísticos. También podrían utilizar preguntas de estimación para evaluar tus habilidades de resolución de problemas y tu pensamiento creativo.

Preguntas de entrevista más frecuentes para analista de datos y cómo responderlas

Question 1

Pregunta n.º 1: ¿Qué software de análisis de datos has utilizado?

How to answer
Respuesta recomendada: Los analistas de datos suelen utilizar software para llevar a cabo muchas de sus tareas. Te plantean esta pregunta para determinar tu grado de dominio y la cantidad de formación que podrías necesitar. Enumera y comenta el software de análisis de datos que hayas usado antes. No olvides incluir cualquier formación específica que hayas recibido y proporcionar ejemplos de cómo has utilizado el software en trabajos anteriores.
Question 2

Pregunta n.º 2: ¿Qué métodos estadísticos resultan más útiles para el análisis de datos?

How to answer
Respuesta recomendada: Con esta pregunta, los entrevistadores desean evaluar tu conocimiento de los métodos estadísticos más utilizados (algoritmo simplex, método de imputación, inferencia bayesiana, proceso de Márkov, etc.). Enumera y comenta los distintos métodos de análisis, incluidas las ventajas concretas que ofrece cada uno. Si es posible, incluye ejemplos de cómo los has utilizado profesionalmente.
Question 3

Pregunta n.º 3: ¿Cómo harías una estimación de los pares de botas de agua vendidos en Galicia en el mes de mayo?

How to answer
Respuesta recomendada: Las preguntas de estimación son habituales en las entrevistas para el puesto de analista de datos, pues permiten evaluar tu pensamiento analítico y tus métodos de resolución de problemas. Explica cómo abordarías el problema, incluidos los conjuntos de datos que necesitarías, cómo buscarías los datos y los métodos que utilizarías para realizar la estimación.

46,896 analista de datos interview questions shared by candidates

how did you analyze data? Who uses your data analysis results? how large is the data set you work with? sql question one: the first table is customer purchase table, with five columns, customer id, purchase date, product id, unit price, unit purchased, write queries to retrieve data with unique customer id that made over $100 purchase in the past seven days. sql question two: a second table is the customer details table, with two columns, customer id, registration date, write queries to retrieve data with unique customer id that made over $100 purchase who registered in the past ten days. probability question: what is the probability of generating ten consecutive numbers in ascending order out of 100 numbers? this is a random number generation question.
avatar

Data Analyst

Interviewed at Amazon

3.5★
Nov 8, 2016

how did you analyze data? Who uses your data analysis results? how large is the data set you work with? sql question one: the first table is customer purchase table, with five columns, customer id, purchase date, product id, unit price, unit purchased, write queries to retrieve data with unique customer id that made over $100 purchase in the past seven days. sql question two: a second table is the customer details table, with two columns, customer id, registration date, write queries to retrieve data with unique customer id that made over $100 purchase who registered in the past ten days. probability question: what is the probability of generating ten consecutive numbers in ascending order out of 100 numbers? this is a random number generation question.

Case 1: Given APR, Interchange fee, Avg monthly balance, Avg spend every month, and loss rate of 3% calculate the profit per customer. Now justify if it is profitable to give cash back to the customers.. Case 2: 2 ways of campaigning for credit cards 1. Email - 10% of applicants become customers - each representative can verify 10 email applications in an hr and is paid $25/hr 2. Chat - 20% of applicants become customers - each representative can respond to 4 applications in an hr and is paid $25/hr Profit per customer in both the cases in $100. which one is profitable email or chat. Draw the graph of profit vs no of applicants Consider a scenario where there are only 5 representatives to handle applications. In this case which one is more profitable email or chat. calculate the breakeven point for the no of representatives where chat will be profitable than email.
avatar

Senior Data Analyst

Interviewed at Capital One

5★
Mar 17, 2016

Case 1: Given APR, Interchange fee, Avg monthly balance, Avg spend every month, and loss rate of 3% calculate the profit per customer. Now justify if it is profitable to give cash back to the customers.. Case 2: 2 ways of campaigning for credit cards 1. Email - 10% of applicants become customers - each representative can verify 10 email applications in an hr and is paid $25/hr 2. Chat - 20% of applicants become customers - each representative can respond to 4 applications in an hr and is paid $25/hr Profit per customer in both the cases in $100. which one is profitable email or chat. Draw the graph of profit vs no of applicants Consider a scenario where there are only 5 representatives to handle applications. In this case which one is more profitable email or chat. calculate the breakeven point for the no of representatives where chat will be profitable than email.

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