The ultimate guide to product analytics interviews. Strategies developed by FAANG engineers to craft structured, impactful answers and increase your chances of landing a data science job.

Product analytics interviews evaluate your skills and creativity as an aspiring data analyst. Interview questions evaluate if you can use your technical knowledge to guide the further development of a product. Learning how to answer these questions is crucial to ace most job interviews for data scientists and analysts.

In this course, you’ll first gain an overview of what product analytics interviews look like and what kinds of questions usually come up. Next, you’ll learn to use a framework for answering product analytics questions, showcasing your analytical skills. Finally, you’ll learn how to apply said framework to different kinds of product analytics interview questions by looking at several examples.

With this course, you’ll increase your chances of landing a job in data science by learning how to effectively answer product analytics interview questions. You’ll be able to provide well-structured and well-communicated answers, and show you can creatively tackle any business problem you may face.

Ace the Product Analytics Job Interview

We are always at an information disadvantage when talking to the interviewer, so we need to ask some clarifying questions. For example, we can confirm that we understand what Facebook Events is, what Facebook’s mission is, who uses Facebook Events, and how Facebook Events works.

# Main talking points

* What is the product/feature?
* What is the company’s mission, and how does the product relate to that?
* How does the product/feature work?
* Who uses Facebook Events?

## Answers and assumptions

Facebook Events allows users to create events and attend events. It helps users discover things that interest them and connects them with other users, extending Facebook’s mission to bring the world closer together.

Facebook Events is mainly focused on social events between users and drawing promotional interests and customers from larger organizations. Given this distinction, I will assume that the latter is not an intended effect. The company has not yet monetized Facebook Events, except in a few small cases of integrating it with Ticketmaster to buy tickets directly on Facebook.


Learn how to close the information gaps between you and the interviewer. 

Introduction

Investigating Metrics

Fractional Metrics

Measuring Success

Feature Change

Metric Trade-Offs

Growth

Conclusion

Clarification