Aller au contenuAller au pied de page
  • Emplois
  • Entreprises
  • Salaires
  • Pour les employeurs

      Boostez votre carrière

      Découvrez votre salaire potentiel, décrochez des emplois de rêve et partagez vos témoignages de manière anonyme.

      employer cover photo
      employer logo
      employer logo

      Netlink

      Employeur impliqué

      À propos
      Avis
      Salaires et avantages
      Emplois
      Entretiens
      Entretiens
      Recherches associées: Avis sur Netlink | Offres d’emploi chez Netlink | Salaires chez Netlink | Avantages sociaux chez Netlink
      Entretiens chez NetlinkEntretiens d’embauche pour Data Analyst chez NetlinkEntretien chez Netlink


      Glassdoor

      • À propos
      • Récompenses
      • Blog
      • Nous contacter
      • Guides

      Employeurs

      • Compte employeur gratuit
      • Centre employeur
      • Blog pour les employeurs

      Informations

      • Aide
      • Règles de la communauté
      • Conditions d'utilisation
      • Confidentialité et choix publicitaires
      • Ne pas vendre ni partager mes informations
      • Outil de consentement aux cookies

      Travailler avec nous

      • Annonceurs
      • Carrières
      Télécharger l'application

      • Parcourir par :
      • Entreprises
      • Emplois
      • Lieux

      Copyright © 2008-2026. Glassdoor LLC. « Glassdoor », son logo, « Worklife Pro » et « Bowls » sont des marques déposées de Glassdoor LLC.

      Entreprises suivies

      Tenez-vous au courant des dernières opportunités et profitez de conseils d’initiés en suivant les entreprises de vos rêves.

      Recherche d’emplois

      Obtenez des recommandations et des mises à jour personnalisées en démarrant vos recherches.

      Entretien pour Data Analyst

      4 nov. 2024
      Employé (anonyme)
      Bhopal

      Autres retours d’entretien d’embauche pour un poste comme Data Analyst chez Netlink

      Entretien pour Data Analyst

      6 août 2024
      Candidat à l'entretien anonyme
      Bhopal
      Aucune offre
      Offre acceptée
      Expérience négative
      Entretien moyen

      Candidature

      J'ai postulé via la recommandation d'un employé. Le processus a pris 2 semaines. J'ai passé un entretien chez Netlink (Bhopal)

      Entretien

      There were two rounds, both of them were technical. First was basic SQL and second was based on SQL subqueries. It was bit tough as compared to the first one

      Questions d'entretien [1]

      Question 1

      They asked basic questions related to SQL
      Répondre à cette question
      1
      Expérience positive
      Entretien moyen

      Candidature

      J'ai postulé via un établissement d'enseignement supérieur ou universitaire. J'ai passé un entretien chez Netlink (Bhopal)

      Entretien

      I recently had the opportunity to interview for the Data Analyst position at Netlink, Bhopal through. Here's a detailed review of the interview process, particularly focusing on the questions related to Power BI and Excel. Interview Process The interview process was structured and consisted of multiple rounds, including an initial screening, a technical round, and a final HR interview. The technical round primarily tested my proficiency in Power BI and Excel, which are crucial tools for any data analyst.

      Questions d'entretien [1]

      Question 1

      Power BI Questions Data Modeling: Question: Explain the difference between a relationship and a join in Power BI. My Answer: In Power BI, a relationship defines how tables are related to each other using primary and foreign keys, whereas a join is used to combine data from multiple tables based on a related column. DAX Functions: Question: How do you create a calculated column and measure in Power BI? Give an example. My Answer: A calculated column is created using the 'New Column' feature in Power BI and is computed row by row. For instance, Total Sales = Sales[Quantity] * Sales[Price]. A measure, on the other hand, is created using the 'New Measure' feature and is calculated on the fly, such as Total Sales = SUM(Sales[Quantity] * Sales[Price]). Visualizations: Question: Describe a scenario where you would use a clustered column chart over a stacked column chart. My Answer: A clustered column chart is useful when you need to compare multiple categories across different series side by side, whereas a stacked column chart is better for showing the part-to-whole relationships within each category. Power Query: Question: How do you handle data cleaning and transformation in Power BI using Power Query? My Answer: In Power Query, data cleaning and transformation are handled using various steps like removing duplicates, filtering rows, splitting columns, merging queries, and applying transformations such as changing data types or creating custom columns. Excel Questions Formulas and Functions: Question: How do you use VLOOKUP and what are its limitations? My Answer: VLOOKUP is used to search for a value in the first column of a table and return a value in the same row from a specified column. Its limitations include not being able to search from right to left and issues with performance when handling large datasets. Pivot Tables: Question: Explain how you would use a pivot table to analyze sales data. My Answer: A pivot table can be used to summarize and analyze sales data by dragging fields into the rows, columns, values, and filters areas. For instance, to analyze total sales by region and product, you would place 'Region' in rows, 'Product' in columns, and 'Sales Amount' in values. Data Visualization: Question: What are sparklines and how would you use them in a report? My Answer: Sparklines are tiny charts embedded in a cell that provide a visual representation of data trends. They are useful in reports for showing trends over time without taking up much space, such as displaying monthly sales trends next to the total sales value for each product. Advanced Functions: Question: How do you use the INDEX and MATCH functions together? My Answer: INDEX and MATCH functions are used together to perform a more flexible lookup than VLOOKUP. MATCH finds the position of a value in a column or row, and INDEX returns the value at that position in another column or row. For example, =INDEX(B2:B10, MATCH("Product", A2:A10, 0)) returns the value in column B where "Product" is found in column A.
      Répondre à cette question
      2