Software Engineer Analytical Interview Questions

Review this list of analytical software engineer interview questions and answers verified by hiring managers and candidates.
  • Google logoAsked at Google 
    +6

    "I would first call out the two types of Google Doodles that are published. First would be the static doodle which just shows a picture, and users can get more information on it by hovering on it or clicking on it. Second would be the dynamic google doodles which are either short videos or games through which users engage a bit more. My top 3 metrics that covers both would be: Click-through rate and post-click CTR - Although different metrics, I clubbed them since they fall under similar"

    Rahul R. - "I would first call out the two types of Google Doodles that are published. First would be the static doodle which just shows a picture, and users can get more information on it by hovering on it or clicking on it. Second would be the dynamic google doodles which are either short videos or games through which users engage a bit more. My top 3 metrics that covers both would be: Click-through rate and post-click CTR - Although different metrics, I clubbed them since they fall under similar"See full answer

    Software Engineer
    Analytical
    +1 more
  • Amazon logoAsked at Amazon 
    Video answer for 'Implement k-means clustering.'

    "at first I want to know number of cluster I will put random number if I don't know and I will use method called Elbow method or Silhouette Score ,Gap Statistic and Davies–Bouldin Index to know the best number of cluster and I will use scikit-learn library to import kmeans from sklearn.cluster import KMeans kmeans = KMeans(nclusters=2, randomstate=0) kmeans.fit(X) and X this my data "

    Taheia S. - "at first I want to know number of cluster I will put random number if I don't know and I will use method called Elbow method or Silhouette Score ,Gap Statistic and Davies–Bouldin Index to know the best number of cluster and I will use scikit-learn library to import kmeans from sklearn.cluster import KMeans kmeans = KMeans(nclusters=2, randomstate=0) kmeans.fit(X) and X this my data "See full answer

    Software Engineer
    Analytical
    +5 more
  • Capital One logoAsked at Capital One 

    "conduct direct user research through methods such as interviews, surveys, and focus groups to gather qualitative insights into user preferences, pain points, and behaviors. Additionally, I analyze quantitative data from sources like user analytics, feedback metrics, and market research to identify trends and patterns. Collaborating closely with stakeholders, including customers, internal teams, and subject matter experts, further enriches the requirements gathering process by incorporating diver"

    Jack F. - "conduct direct user research through methods such as interviews, surveys, and focus groups to gather qualitative insights into user preferences, pain points, and behaviors. Additionally, I analyze quantitative data from sources like user analytics, feedback metrics, and market research to identify trends and patterns. Collaborating closely with stakeholders, including customers, internal teams, and subject matter experts, further enriches the requirements gathering process by incorporating diver"See full answer

    Software Engineer
    Analytical
    +2 more
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