GoPro Data Analyst Interview Questions + Guide in 2024

GoPro, a renowned action camera company, is recognized for its cutting-edge technology that enables adventure enthusiasts to capture their experiences in stunning detail. Established in 2002, GoPro continues to innovate and expand its influence in the tech and media industries.

Stepping into GoPro as a Data Analyst involves harnessing data to derive actionable insights that drive strategic decisions. This role requires a solid foundation in statistical analysis, visualization, and manipulation tools. You will analyze large datasets to identify trends, patterns, and opportunities to optimize business performance.

If you’re interested in joining this dynamic company, this guide is designed for you. We’ll walk you through the interview process, address some frequently encountered GoPro data analyst interview questions, and provide invaluable preparation tips. Welcome to your journey with Interview Query—let’s dive in!

The interview process usually depends on the role and seniority; however, you can expect the following on a GoPro data analyst interview:

Recruiter/Hiring Manager Call Screening

If your CV is among the shortlisted few, a recruiter from the GoPro Talent Acquisition Team will contact you and verify key details like your experiences and skill level. Behavioral questions may also be part of the screening process.

Sometimes, the GoPro data analyst hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will invite you to the technical screening round. Technical screening for the GoPro data analyst role is usually conducted through virtual means, including video conference and screen sharing. Questions in this one-hour interview stage may revolve around GoPro’s data systems, ETL pipelines, and SQL queries.

In the case of data analyst roles, take-home assignments regarding product metrics, analytics, and data visualization are incorporated. In addition, your proficiency in hypothesis testing, probability distributions, and machine learning fundamentals may also be assessed during the round.

Case studies and similar real-scenario problems may also be assigned depending on the position’s seniority.

Onsite Interview Rounds

After a second recruiter call outlining the next stage, you’ll be invited to attend the on-site interview loop. During your day at the GoPro office, multiple interview rounds, varying with the role, will be conducted. Your technical prowess, including programming and ML modeling capabilities, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, you may also be invited to a presentation round during the on-site interview for the data analyst role at GoPro.

Typically, interviews at GoPro vary by role and team, but commonly, Data Analyst interviews follow a fairly standardized process across these question topics.

1. Write a query to get the average order value by gender.

Given three tables representing customer transactions and customer attributes, write a query to get the average order value by gender. Round the answer to two decimal places.

2. Write a function missing_number to find the missing number in an array.

You have an array of integers, nums of length n spanning 0 to n with one missing. Write a function missing_number that returns the missing number in the array. Complexity of (O(n)) required.

3. Find the index where the sum of the left half equals the right half.

Given a list of integers, find the index at which the sum of the left half of the list is equal to the right half. If there is no such index, return -1.

4. Write a function sorting to sort a list of strings in ascending order.

Given a list of strings, write a function sorting from scratch to sort the list in ascending alphabetical order. Do not use the built-in sorted function. Return the new sorted list.

5. Write a query to extract the earliest date each user played their third unique song.

Given a table of song_plays and a table of users, write a query to extract the earliest date each user played their third unique song. If a user has listened to less than three unique songs, display their name with a NULL date and song name.

6. How would you build a model to predict which merchants DoorDash should acquire in a new market?

As a data scientist at DoorDash, describe the steps and features you would use to build a predictive model to identify which merchants the company should target for acquisition when entering a new market.

7. How would you determine the customer service quality through the chat box for small businesses on Facebook Marketplace?

Working at Facebook, your team aims to help small businesses increase sales through the Marketplace app. Explain how you would assess the quality of customer service interactions via the chat box for small businesses selling items to consumers.

8. What business health metrics would you track on a dashboard for an e-commerce D2C sock business?

If you are in charge of an e-commerce D2C business that sells socks, list and explain the key business health metrics you would monitor on a company dashboard.

9. Write a query to determine if user interactions lead to higher purchasing volumes.

Given three tables (users, transactions, and events), write a SQL query to analyze whether users who interact on the website (e.g., likes, comments) convert to purchasing at a higher volume than those who do not interact.

10. How does random forest generate the forest and why use it over logistic regression?

Explain the process of generating a forest using a random forest algorithm and discuss the advantages of using random forest over logistic regression.

11. How do we deal with missing square footage data to construct a housing price model?

You have 100K sold listings over the past three years for Seattle, but 20% are missing square footage data. Describe methods to handle this missing data to build an accurate housing price prediction model.

12. How do you detect and handle correlation between variables in linear regression?

Describe methods to detect and manage correlation between variables in a linear regression model. Explain the consequences of ignoring such correlations.

13. How would you design a model to detect potential bombs at a border crossing?

Outline the design of a model to detect potential bombs at a border crossing, including the selection of inputs and outputs, accuracy measurement, and testing procedures.

14. How many more samples are needed to decrease the margin of error from 3 to 0.3?

Given a sample size (n) with a margin of error of 3, calculate the additional samples required to reduce the margin of error to 0.3.

15. What is the mean and variance of the distribution of (2X - Y)?

Given (X) and (Y) are independent random variables with normal distributions (X \sim \mathcal{N}(3, 4)) and (Y \sim \mathcal{N}(1, 4)), determine the mean and variance of (2X - Y).

16. How do you calculate the sample size and power for an AB test?

For an AB test with a test group and a control group:

1. Explain how to calculate the necessary sample size for accurate measurement.
2. If the sample size is sufficient, should the power increase or decrease to measure very small differences?

To help you succeed in your GoPro data analyst interviews, consider these tips based on interview experiences:

1. Be Data-Driven: GoPro’s data science interviews evaluate your ability to generate business-driving insights from data. Brush up on your statistical and probability knowledge, as these can be some of the most challenging questions.

2. Understand GoPro Products: GoPro values situational and scenario-based questions centered around their products. Familiarize yourself with GoPro’s diverse product line and think about how you could improve or analyze them.

3. Show Innovation and Collaboration: GoPro’s culture values innovation and teamwork. Prepare to respond to behavioral questions with answers that reflect these core values.

What is the average salary for a Data Analyst at GoPro?

According to Glassdoor, data analysts at GoPro earn between $92K to $133K per year, with an average of $111K per year.

What technical skills are essential for a Data Analyst position at GoPro?

Key technical skills for a Data Analyst position at GoPro include proficiency in SQL, Python, and data visualization tools like Tableau. Additionally, experience with statistical analysis, data modeling, and knowledge of business intelligence concepts are highly beneficial.

What is the company culture like at GoPro?

GoPro promotes a work culture that values creativity, adventure, and innovation. The company encourages employees to take initiative, pursue their passions, and think outside the box. Collaboration, diversity, and a love for adventure sports are core elements of GoPro’s organizational culture.

If you’re eager to dive deeper into the Data Analyst role at GoPro and want more insights about their interview process, check out our main GoPro Interview Guide, where we have detailed numerous interview questions you might encounter. We’ve also curated guides for other roles such as software engineer and data analyst.

At Interview Query, we arm you with a powerful toolkit, designed to provide the knowledge, confidence, and strategic direction needed to excel in any GoPro Data Analyst interview. Explore our company interview guides for thorough preparation. Should you have any questions, don’t hesitate to reach out.

Good luck with your interview!