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Senior Analytics Interview Questions
885 senior analytics interview questions shared by candidates
Given a table, compute several metrics in SQL. These were simple and required basics such as joins, aggregations, and window functions.
Think of different metrics related to the customer service analytics, how will you calculate those metrics. Design an A/B testing experiment for improving customer service platform on Netflix and what metrics will you use How will you design a Netflix customer service center and how will you employ agents. How can you be proactive in solving issues for a customer who you think is going to call for a problem
With Recruiting Researcher: Tell me about yourself. What was the worst feedback that you received and how did you handle it? What are your weakness? Similar behavioral questions, some on Netflix Culture document. With Hiring Manager: Tell me about yourself. Some behavioral questions. Gave a background of information security team with following questions: What all KPI will you use in your report What kind of charts will you use to present your data
Describe a time when you received extremely difficult feedback and how you handled it.
Describe a data project you've worked on from start to finish
1. Define Customer Cohorts. Group the customers in the dataset into cohorts/segments based on their first-order characteristics and the month of their first order. These cohorts should be actionable, helping lead to business insights. Make hypotheses about how churn rates will differ across cohorts, which you can reflect on after performing your analysis. 2. What are the customer retention/churn rates over time for the customer groups that you defined in Part 1? Is there a significant difference in retention/churn based on different promotion values? What insights do you find from this analysis? 3. What are the dollar value retention rates over time for each customer group? What insights can you derive from your answers to Parts 2 and 3? 4. Are there any caveats to this analysis using only the provided data? What other data would be ideal to have? Please provide comments and visualizations so we can follow along with your thinking. While you won’t be penalized for approaching the analysis in multiple ways, it’s entirely sufficient to spend a few hours on just a single, well-justified approach — a few hours won’t be enough time to create a *perfect* analysis, but it should be enough to get most of the way there. Time constraints are common, and our grading rubric accounts for this.
Can you share a time that you worked with a difficult client and how you dealt with the situation? If you have not previously consulted, substitute "client" with a member of another team.
Fluffy behavioral questions
Tell me about a leadership experience.
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