Ir para o conteúdoIr para a pasta
  • Vagas
  • Empresas
  • Salários
  • Para empresas

      Avance em sua carreira

      Descubra qual pode ser seu salário, conquiste a vaga dos seus sonhos e compartilhe insights de qualidade de vida com sigilo.

      employer cover photo
      employer logo
      employer logo

      ClicFlyer

      Empresa engajada

      Sobre
      Avaliações
      Remuneração e benefícios
      Vagas
      Entrevistas
      Entrevistas
      Buscas relacionadas: Avaliações da empresa ClicFlyer | Vagas da empresa ClicFlyer | Salários da empresa ClicFlyer | Benefícios da empresa ClicFlyer
      Entrevistas da empresa ClicFlyerEntrevistas do cargo de Senior Analyst da empresa ClicFlyerEntrevista da empresa ClicFlyer


      Glassdoor

      • Sobre
      • Prêmios
      • Blog
      • Fale conosco

      Empresas

      • Conta gratuita de empresa
      • Área da empresa
      • Blog para empresas

      Informações

      • Ajuda
      • Regras da Comunidade
      • Termos de Uso
      • Privacidade e opções de anúncios
      • Não venda nem compartilhe minhas informações
      • Ferramenta de consentimento de uso de cookies

      Trabalhe conosco

      • Anunciantes
      • Carreiras
      Baixe o aplicativo:

      • Busque por:
      • Empresas
      • Vagas
      • Localizações

      Copyright © 2008-2026. Glassdoor LLC. “Glassdoor”, “Worklife Pro”, “Bowls” e o logotipo do Glassdoor são marcas comerciais pertencentes à Glassdoor LLC.

      Empresas seguidas

      Fique por dentro de todas as oportunidades e dicas internas seguindo as empresas de seus sonhos.

      Buscas de vagas

      Comece a buscar vagas para receber atualizações e recomendações personalizadas.

      Entrevista para Senior Analyst

      1 de ago. de 2025
      Funcionário(a) sigiloso(a)
      Gurgaon, Haryana
      Oferta aceita
      Experiência positiva
      Entrevista fácil

      Candidatura

      Candidatei-me por meio de recrutador(a). O processo levou 2 semanas. Fui entrevistado pela ClicFlyer (Gurgaon, Haryana) em jan. de 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.

      Perguntas de entrevista [1]

      Pergunta 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 resposta