Study Purly

Job Role: Data Analyst

  • Data Analyst

    The data-driven approach of Infiniti Software Solutions impressed me during the interview. Their focus on real-time scheduling and reporting systems was very relevant to my experience.
    Questions asked during the interview:

    1. How do you analyze travel data to improve booking efficiency?
    2. What experience do you have with revenue optimization analytics for airlines?
    3. Can you describe how you’ve worked with real-time scheduling data?
    4. How do you handle large datasets in travel expense reporting?
    5. What visualization tools do you use to present travel data insights?
    6. How do you ensure data accuracy in travel management reports?

  • Data Analyst

    The interview process at Evergent Technologies was insightful and data-driven. The discussion revolved around customer analytics using tools like Tableau, Power BI, and SQL-based solutions such as Snowflake and Redshift. The team was very focused on actionable insights and revenue recovery.
    Questions asked during the interview:

    1. How do you leverage data analytics to improve subscription revenue recovery?
    2. What experience do you have with data visualization tools like Power BI and Tableau?
    3. How do you handle data pipelines using Hadoop and Spark?
    4. Can you explain the use of ELK Stack in analyzing system performance logs?
    5. How do you manage and analyze large datasets using Pandas and NumPy?
    6. What approaches do you take to ensure data integrity and security?

  • Data Analyst

    Interviewing at Cozeva was an insightful and rewarding experience. The questions were well-structured, focusing on data analytics and healthcare data standards. I appreciated their commitment to data-driven decision-making.
    Questions asked during the interview:

    1. How do you handle missing data in healthcare datasets?
    2. What is your experience with Tableau and Power BI for healthcare reporting?
    3. Explain how you would use scikit-learn for predictive analytics in healthcare.
    4. How do you ensure compliance with healthcare data standards when analyzing data?
    5. What methods do you use to communicate complex data insights to non-technical stakeholders?
    6. Describe a time when you had to adapt to new analytical tools quickly.