Lyft Data Analyst Interview Questions | Glassdoor

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Lyft Data Analyst Interview Questions

Interviews at Lyft

17 Interview Reviews

Experience

Experience
35%
18%
47%

Getting an Interview

Getting an Interview
60%
20%
13%
7

Difficulty

3.2
Average

Difficulty

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Helpful (2)  

Data Analyst Interview

Anonymous Interview Candidate in San Francisco, CA
No Offer
Negative Experience
Average Interview

Application

I applied through an employee referral. The process took 4 weeks. I interviewed at Lyft (San Francisco, CA) in October 2017.

Interview

First Interview with a Data Analyst, data challenge then a flyout to present your challenge and 4 interviews. Was rejected two days after onsite. (Failed SQL because I wasn't too familiar with window functions)

Recruiter is slow to respond to you

Interview Questions

  • What is the probability in a random sequence of H and T's, the subsequence HHT comes before HTT?   3 Answers
  • How would you evaluate whether a 50% rider discount is a good or bad thing?   2 Answers

Other Interview Reviews for Lyft

  1. Helpful (7)  

    Data Analyst Interview

    Anonymous Interview Candidate in New York, NY
    No Offer
    Neutral Experience
    Average Interview

    Application

    I applied through an employee referral. The process took 2+ months. I interviewed at Lyft (New York, NY) in November 2017.

    Interview

    First, I was asked to make a self-introduction. Interviewer didn't ask more about my resume or background. Then I was asked to do a case Study. In the process, interviewer asked more questions corresponding to your answers.

    Interview Questions

    • If Lyft want to provide 15% discount to users, how to use data to analyze whether the campaign is successful or not   Answer Question

  2. Helpful (2)  

    Data Analyst Interview

    Anonymous Interview Candidate in San Francisco, CA
    No Offer
    Negative Experience
    Average Interview

    Application

    I applied through an employee referral. The process took 2+ weeks. I interviewed at Lyft (San Francisco, CA) in June 2017.

    Interview

    One screening with HR then a case study with a data analyst; got an assignment to do and did not pass; there was no clear direction for the assignment. I wish there were clear questions that I needed to answer; I guess they were looking to see the candidate's creativity and thinking process

    Interview Questions

    • What to look at if they enter new market   1 Answer
  3. Helpful (25)  

    Data Analyst Interview

    Anonymous Interview Candidate
    No Offer
    Neutral Experience
    Difficult Interview

    Application

    I applied through an employee referral. I interviewed at Lyft in March 2015.

    Interview

    Applied online/through a contact
    First interview was with HR recruiter and was a case interview. Was not at all expecting this, was expecting typical personality/resume type questions. She said this and subsequent interviews would all be case questions/"Homework" assignments using SQL.

    Interview Questions

    • How would you determine when surge pricing (when rides cost 1.5x, etc) occurs?   Answer Question
    • How would you determine what multiple to charge for surge pricing?   Answer Question
    • How can you make this process more efficient?   Answer Question

  4. Helpful (10)  

    Data Analyst Interview

    Anonymous Interview Candidate
    No Offer
    Negative Experience
    Difficult Interview

    Application

    I applied through other source. The process took 1 day. I interviewed at Lyft in October 2015.

    Interview

    The Director of Analytics, George Xing, had his email on his LinkedIn with a message to reach out about the Analytics team. We are growing. I emailed him my resume and introduced myself. He set up a half hour call the next day.

    The call was a usual talk about my last couple roles, why I am interested in Lyft, and him talking about the team and scope. Then he immediately asked me "How would you come up with a price increase Algorithm?" on the spot. I stumbled a bit because it was unexpected. Walked through how I would try to measure and predict real time supply and demand and what elements could be a threshold for an increase. I kept saying "surge" instead of "prime time" by accident and I am sure that was considered negative. Perhaps I am unreasonable, but that is not the type of question you would ask on an intro call. Secondly, from the sounds of the description and our discussion, it was more of a product analyst type of role (testing features, modeling and forecasting, communicating user behavior, etc...) and not the type where I would have to build a pricing algorithm on the spot.

    Anyways, no follow-up whatsoever. Sounds like they are a lucky company with TONS of applicants and they can get away with this type of behavior on an intro call to filter candidates.

    Interview Questions

    • Describe how you would build a price increase algorithm.   Answer Question

  5. Helpful (3)  

    Data Analyst Interview

    Anonymous Employee in San Francisco, CA
    Accepted Offer
    Positive Experience
    Average Interview

    Application

    I applied through an employee referral. The process took 5 weeks. I interviewed at Lyft (San Francisco, CA) in August 2016.

    Interview

    Very fast process overall. Two phone screenings, a technical phone interview, and on-site day with 6 team member interviews. Final phone interview with VP. I received feedback from my recruiter

    Interview Questions

    • Have you worked with large data sets before and if so how to you identify potential data accuracy issues?   Answer Question

  6.  

    Data Analyst Interview

    Anonymous Interview Candidate in New York, NY
    No Offer
    Positive Experience
    Difficult Interview

    Application

    I applied through a recruiter. The process took 2 weeks. I interviewed at Lyft (New York, NY) in July 2019.

    Interview

    An internal recruiter at Lyft reached out to me on LinkedIn. I had an interview with him, followed by an Excel-based operations exam. Then I had a take-home analysis and presentation with the head of the department I'd work for.

    Interview Questions

    • Given 90 days of ride data, how would you project the lifetime of a driver? Lifetime value? Prepare a presentation.   1 Answer

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