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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

Interview Questions were average on difficulty level if you put some thought to it. Screening rounds were more of question answers based where they gave you a problem and expected an answer. Python: Find the max no from the given set of elements in an array (without using max function) Find the minimum absolute difference between the set of elements of an array. Python Coding Questions that involved a hashmap. Know your basics well Print Max element of a given list Print median of a given list Print the first nonrecurring element in a list Print the most recurring element in a list HCF/Greatest common Factor of List LCM of list Sql: find the highest salary per department Select employee from departments where max salary of the department is 40k Select employee assigned to projects Select employee which have the max salary in a given department Select employee with second highest salary Table has two data entries every day for # of apples and oranges sold. write a query to get the difference between the apples and oranges sold on a given day Typical questions around Group by, Joins during screening round they used MYSQL so practice solutions with basic SQL as the version i was working on didn't support analytical functions or other advanced features. Face To Face Rounds (Fullstack): To begin I was asked about different metrics which could be reported given the dataset/information or scenario. Then interviewer picked up a metrics and asked to draw on whiteboard what kind of graph/chart will I use to display the information. Then going further asked about the table structures and data model which will be required to support the dashboard. Interviewer then provided the initial data set which is 1 case was a log file and in another some detail level tables, I was asked to write a programming code to read, parse and load data to tables. Then along the way once we have our code tables and dashboard finalized i was asked to write SQL's for different steps in the whole pipeline.
avatar

Data Analyst

Interviewed at Meta

3.5★
Dec 16, 2016

Interview Questions were average on difficulty level if you put some thought to it. Screening rounds were more of question answers based where they gave you a problem and expected an answer. Python: Find the max no from the given set of elements in an array (without using max function) Find the minimum absolute difference between the set of elements of an array. Python Coding Questions that involved a hashmap. Know your basics well Print Max element of a given list Print median of a given list Print the first nonrecurring element in a list Print the most recurring element in a list HCF/Greatest common Factor of List LCM of list Sql: find the highest salary per department Select employee from departments where max salary of the department is 40k Select employee assigned to projects Select employee which have the max salary in a given department Select employee with second highest salary Table has two data entries every day for # of apples and oranges sold. write a query to get the difference between the apples and oranges sold on a given day Typical questions around Group by, Joins during screening round they used MYSQL so practice solutions with basic SQL as the version i was working on didn't support analytical functions or other advanced features. Face To Face Rounds (Fullstack): To begin I was asked about different metrics which could be reported given the dataset/information or scenario. Then interviewer picked up a metrics and asked to draw on whiteboard what kind of graph/chart will I use to display the information. Then going further asked about the table structures and data model which will be required to support the dashboard. Interviewer then provided the initial data set which is 1 case was a log file and in another some detail level tables, I was asked to write a programming code to read, parse and load data to tables. Then along the way once we have our code tables and dashboard finalized i was asked to write SQL's for different steps in the whole pipeline.

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