Ir al contenidoIr al pie de página
  • Empleos
  • Empresas
  • Sueldos
  • Para empleadores

      Impulsa tu carrera profesional

      Averigua cuánto podrías ganar, encuentra el empleo perfecto y comparte información sobre tu vida laboral y personal de forma anónima.

      employer cover photo
      employer logo
      employer logo

      ClicFlyer

      Empleador activo

      Información
      Evaluaciones
      Pago y prestaciones
      Empleos
      Entrevistas
      Entrevistas
      Búsquedas relacionadas: Evaluaciones de ClicFlyer | Empleos en ClicFlyer | Sueldos en ClicFlyer | Prestaciones en ClicFlyer
      Entrevistas en ClicFlyerEntrevistas para el cargo de Senior Analyst en ClicFlyerEntrevista en ClicFlyer


      Glassdoor

      • Acerca de
      • Premios
      • Blog
      • Contacto

      Empleadores

      • Cuenta de empleador gratuita
      • Centro de empleador

      Información

      • Ayuda
      • Pautas
      • Condiciones de uso
      • Privacidad y opciones de anuncios
      • No vender ni compartir mi información
      • Herramienta de autorización de cookies

      Trabaja con nosotros

      • Anunciantes
      • Oportunidades laborales
      Descargar aplicación

      • Buscar por:
      • Empresas
      • Empleos
      • Ubicaciones

      Copyright © 2008-2026. Glassdoor LLC. "Glassdoor", "Worklife Pro", "Bowls" y sus logotipos son marcas comerciales registradas de Glassdoor LLC.

      Empresas seguidas

      Sigue a tus empresas favoritas para estar al tanto de las últimas oportunidades y disponer de información desde adentro.

      Búsquedas de empleo

      Recibe recomendaciones y actualizaciones personalizadas al iniciar tu búsqueda.

      Entrevista para Senior Analyst

      1 ago 2025
      Empleado anónimo
      Gurgaon, Haryana
      Oferta aceptada
      Experiencia positiva
      Entrevista fácil

      Solicitud

      Me postulé a través de un reclutador. El proceso tomó 2 semanas. Acudí a una entrevista en ClicFlyer (Gurgaon, Haryana) en ene 2024

      Entrevista

      Initial Screening (15–20 mins) Conducted by HR or a hiring manager. Covers your background, experience with analytics tools (Excel, Power BI, SQL, Python), and interest in retail analytics. May include questions about past projects or client handling if the role involves consulting. 2. Technical Assessment (30–45 mins) A mix of live or take-home tasks: Excel: VLOOKUP/XLOOKUP, pivot tables, and basic dashboards. SQL: Write queries for data extraction, aggregation, joins, window functions. Power BI: Build a simple report, demonstrate DAX usage, and discuss data modeling. Python (optional): Data cleaning or analysis using pandas and visualization via matplotlib or seaborn. 3. Case Study / Business Round (30 mins) Scenario-based discussion on a retail analytics problem. Assess how you derive insights from sales or inventory data. Expect to explain KPIs (like sell-through, stock turns), and how you'd visualize/report them. 4. Final Round (15–30 mins) With a senior leader or team head. Evaluates alignment with company values, communication, stakeholder engagement. May ask how you handle deadlines, ambiguity, or clients with non-technical backgrounds.

      Preguntas de entrevista [1]

      Pregunta 1

      🔹Excel What is the difference between VLOOKUP and INDEX-MATCH? How do you create a Pivot Table and why is it useful in retail analysis? How would you use Excel to find top 5 selling products by category? What are dynamic named ranges and how do you use them in dashboards? 🔹 SQL Write a query to get total sales per store from a sales table. What is the difference between INNER JOIN, LEFT JOIN, and FULL OUTER JOIN? How would you rank products within categories using SQL? Explain the use of GROUP BY and HAVING. 🔹 Power BI What are the main components of Power BI? How do you handle data refresh failures in Power BI Service? What is DAX? Can you write a simple CALCULATE expression? How do you optimize Power BI reports for performance? 🔹 Python (Basic level) How do you handle missing data in a DataFrame using pandas? How would you load an Excel file and summarize total sales per product? What libraries do you use for data visualization? Can you explain the difference between a list and a dictionary? 🔹 Retail Analytics Focus What are some key metrics you track for retail performance? How would you use analytics to reduce stockouts? Explain a time when you used data to influence a retail decision. How do you analyze weekly sales trends and seasonality?
      1 respuesta