GoPro is a renowned technology company celebrated for its high-performance cameras and versatile video-editing software, catering to adventure enthusiasts and professional videographers alike. Established in 2002, GoPro has consistently pushed the boundaries of creative content capture, making it a favorite brand among thrill-seekers and content creators.

A role in Business Intelligence at GoPro involves leveraging data analytics and insights to influence business decisions and strategies. This position requires a robust analytical skill set, proficiency in data visualization tools, and the ability to communicate complex data findings effectively. In this guide, we will walk you through the GoPro Business Intelligence interview process, highlight key interview questions, and share tips to help you prepare. Use Interview Query to navigate through your preparation and maximize your chances of landing this exciting role at GoPro. Let’s dive in!

Submitting Your Application

The first step to joining GoPro as a Business Intelligence professional is to submit a compelling application that reflects your technical skills and genuine interest in the position. Carefully review the job description and tailor your CV to the specific prerequisites.

Tailoring your CV includes identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Make sure to highlight relevant skills and mention your previous work experiences to make your application stand out.

Recruiter/Hiring Manager Call Screening

If your CV is shortlisted, a recruiter from GoPro's Talent Acquisition Team will reach out to verify key details like your experience and skill level. This initial screening may include behavioral questions to gauge your cultural fit and professional demeanor.

In some cases, the hiring manager for the Business Intelligence role may be present during this screening round to answer any questions you have about the role and the company. They might also engage in surface-level technical and behavioral discussions.

The recruiter call typically lasts about 30 minutes.

Technical Virtual Interview

If you successfully navigate the recruiter round, you'll be invited for the technical screening round. This stage is usually conducted virtually through video conference and screen sharing. Questions in this 1-hour interview may revolve around GoPro’s data systems, ETL processes, SQL queries, and data visualization tools.

For the Business Intelligence role, you may be tasked with a take-home assignment concerning product metrics, analytics, and data interpretation. You may also be assessed on your proficiency with hypothesis testing, probability distributions, and other fundamental concepts.

Depending on the seniority of the position, case studies and real-scenario problems may also be included.

Onsite Interview Rounds

Following another call with the recruiter to outline the next steps, you'll be invited to attend the onsite interview loop. This typically includes multiple interview rounds at the GoPro office, where your technical skills and problem-solving capabilities will be rigorously evaluated.

If you were given a take-home assignment, one of the onsite interview rounds might be a presentation of your findings. These interviews will focus on your technical expertise, including programming skills and data modeling abilities, as well as your ability to draw actionable business insights from data.

Quick Tips For GoPro Business Intelligence Interviews

1. Understand GoPro Products: Familiarize yourself with the GoPro suite of products and their use-cases. Be prepared to discuss how you would leverage business intelligence to improve their products and operations.
2. Be Data-Driven: GoPro places a strong emphasis on data-driven decision-making. Brush up on your knowledge of statistics, data visualization, and data interpretation.
3. Cultural Fit: GoPro values innovation and collaborative spirit. Prepare for behavioral questions and have examples ready that illustrate how you embody these values in your work.

Typically, interviews at Gopro vary by role and team, but commonly Business Intelligence interviews follow a fairly standardized process across these question topics.

• 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.

• 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.

• Find the index where the sum of the left half equals the right half in a list. 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.

• Write a function sorting to sort a list of strings in ascending order from scratch. Given a list of strings, write a function sorting to sort the list in ascending alphabetical order without using the built-in sorted function. Return the new sorted list.

• 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.

• 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.

• 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 provided through chat interactions between small businesses and consumers.

• What business health metrics would you track on a dashboard for an e-commerce D2C sock business? If you are managing an e-commerce D2C business that sells socks, list and explain the key business health metrics you would monitor on a company dashboard to ensure the business is performing well.

• Write a query to determine if user interactions (likes, comments) 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 (through likes and comments) convert to purchasing at a higher volume than those who do not interact.

• How does random forest generate the forest and why use it over logistic regression? Explain the process of generating a forest in a random forest algorithm and discuss the advantages of using random forest over logistic regression.

• 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 the missing data to build an accurate housing price prediction model.

• How would you build a model to predict which merchants DoorDash should acquire in a new market? As a data scientist at DoorDash, outline the steps to create a model that predicts which merchants the company should target for acquisition when entering a new market.

• 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.

• 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, methods to measure accuracy, and testing procedures.

• 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.

• 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).

• 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:

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

What is the average salary for a Business Intelligence at Gopro?

Q: What is the interview process at GoPro like for Business Intelligence positions?

A: The interview process at GoPro for Business Intelligence roles typically includes an initial phone screen with HR, followed by technical interviews with the BI team. The process focuses on evaluating your data analysis skills, technical capabilities with BI tools, and cultural fit within the company.

Q: What are some common interview questions for the BI position at GoPro?

A: Common interview questions for a BI role at GoPro may encompass SQL queries, data modeling, ETL processes, and case studies that test your problem-solving skills. You might also be asked behavioral questions to assess your fit with the team and the company's culture.

Q: What skills are essential for a Business Intelligence role at GoPro?

A: Key skills for a BI role at GoPro include proficiency in SQL, experience with BI tools such as Tableau or Power BI, knowledge of data warehousing solutions, and strong analytical abilities. Excellent communication skills are also important as you'll need to convey insights effectively to stakeholders.

Q: What is the company culture like at GoPro?

A: GoPro's company culture is dynamic and adventurous, with a strong emphasis on innovation, teamwork, and a passion for capturing life’s amazing moments. Employees are encouraged to be creative, collaborate across departments, and enjoy a healthy work-life balance.

Q: How can I prepare for a Business Intelligence interview at GoPro?

A: To prepare for a BI interview at GoPro, research the company's products and recent initiatives. Practice technical skills such as SQL queries and data visualization using Interview Query, and be ready to discuss past projects. Understanding GoPro’s mission and how you can contribute to it will also give you an edge.

If you’re looking to ace your interview with GoPro for the Business Intelligence position, check out our main GoPro Interview Guide, packed with insights and potential interview questions. At Interview Query, we provide you with a comprehensive toolkit to confidently navigate your interview process, ensuring you're well-prepared to tackle any challenges that come your way.

Explore our numerous company interview guides and, if you have any questions, feel free to reach out.

Good luck with your interview!