structure approach to analytics interviews
TRANSCRIPT
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A Structured Approach to Analytics InterviewsANKIT JAIN
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Who am I?
• Data Scientist@Uber
• Previously, led Data Science@startup in India
• Worked at Facebook, BofA
• UCB, IIT Bombay (India)
• Half Marathon Runner
• Husband
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Why to enter into Data Analytics/Science?
2.5 *1018Bytes of data generated everyday (--IBM)
150,000 Shortage of Data Scientists in US alone in
2018 ( -- Mckinsey and Co.)
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Analytics Interview is not Rocket Science
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What are Employer’s RequirementsWhat are Employer’s Requirements?
• Technical Skills
• Knowledge of Statistics
• Structured Thinking
• Business Understanding
• Communication Skills
• Attention to details
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Types of Interviews
Analytics Interview
Technical BehavioralCase
Interviews
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Technical Interviews
• SQL : Joins, GroupBy , Where, Having, Window Functions, Query optimizations, NoSQL
• R/Excel : Level depends on the job
• Tableau or other BI tool: Useful if you are going for reporting/dashboardingkind of role
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Guesstimates (Type 1 Case Interviews)• These are the kinds of interviews where you are required to estimate a number by putting a framework to the problem, making assumptions and coming up with a final number.
• For e.g. “ Estimate the number of balls/ liquor bottles in USA”
• Few pointers:• It is the approach that matters – not the final numbers
• Call out all the assumptions and possible blind spots
• Clearly state the framework and segmentations you make
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Real Life Case StudyA case interview starts with a broad business question and narrows down in a particular direction. It generally starts with a very simple problem and then interviewers tend to increase the complexity as you solve the problems.
Few pointers:
• Case study is all about three things : Structure, Structure, Structure. Focus on putting a frame work to the problem.
• Again call out all the assumptions.
• Think out loud, interviewer is looking for your thought process
• Communicate effectively
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Some more things1. Update your Linkedin profile2. Attend local meetups3. Keep yourself updated through:
1. News sites like www.datatau.com (hacker news for data science/analytics)
2. Follow data science/analytics leaders on Twitter ( for e.g DJ Patil, Andrew Ng etc. )
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CASE STUDY EXAMPLE
Source : https://modeanalytics.com/
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Yammer ($1.2Bn Acquisition by Microsoft)
Yammer is a social network for communicating with coworkers. Individuals share documents, updates, and ideas by posting them in groups.Think of it like Facebook for Work. Yammer has web,mobile and tablet apps.
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Investigating a Drop in User Engagement
What caused this dip in engaged users?
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Prior Hypothesis• Holiday
• Broken Feature/App
• Error in Data Recording Script
• One Time Marketing Event
• Etc…
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User Growth on Yammer Platform
Growth Rates look normal. High on weekdays and low on weekends
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Engagement of Old Users
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Engagement By Device
Major Engagement Drop for Mobile Users
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Zooming in on Mobile Users
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Further Exploration
It seems the issue is with the mobile app related to long-time user retention. Possible issues can be:
1. Mobile app has become too heavy with new features and it crashes
2. Re-engagement Emails that were sent for retaining users are not been viewed on mobile clearly
3. A bug in recording data in mobile 4. Etc …
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Thank You