Tubi Business Intelligence Interview Questions + Guide in 2025

Tubi is a pioneering ad-supported video-on-demand streaming service under Fox Corporation, dedicated to making entertainment accessible to everyone with a vast library of content.

As a Business Intelligence Analyst at Tubi, you will be integral to the organization's data-driven decision-making process. This role involves collaborating closely with various teams, such as BizOps, Growth, and Product, to identify and address the data needs of the business. You will be responsible for defining and maintaining key performance indicators (KPIs), creating and managing dashboards, and providing analytical support to facilitate informed decision-making. Your expertise in SQL will be paramount, as you will analyze user behavior, track metrics, and derive insights that enhance Tubi's platform performance. Additionally, the role requires a strong understanding of A/B testing and experience working with data visualization tools like Tableau or Looker.

Success in this role demands a blend of technical skills, analytical thinking, and strong communication abilities to effectively present findings to stakeholders. You should be a creative problem-solver who thrives in a fast-paced environment, reflecting Tubi's commitment to innovation and excellence.

This guide aims to equip you with a comprehensive understanding of the expectations and nuances of the Business Intelligence Analyst role at Tubi, thus enhancing your preparation for the job interview.

The interview process for a Business Intelligence role at Tubi is structured to assess both technical skills and cultural fit within the organization. It typically unfolds in several stages, allowing candidates to demonstrate their analytical capabilities and understanding of the business landscape.

1. Initial Screening

The process begins with an initial phone screening conducted by a recruiter. This conversation usually lasts about 30 minutes and focuses on your background, relevant experience, and motivation for applying to Tubi. The recruiter will also gauge your understanding of the company and its mission, as well as your fit within the team culture.

2. Technical Interview

Following the initial screening, candidates typically participate in a technical interview. This may involve a coding assessment or a take-home project that tests your SQL skills and ability to analyze data. You might be asked to work with datasets to perform transformations, create visualizations, or solve specific business problems. This stage is crucial for demonstrating your technical proficiency and familiarity with data analysis tools.

3. Team Interviews

Candidates who successfully pass the technical interview will move on to meet with team members. This stage often includes multiple interviews with various stakeholders, such as data engineers, product managers, and other analysts. These interviews focus on your ability to collaborate across teams, your understanding of key performance indicators (KPIs), and your experience with A/B testing and data modeling. Expect to discuss how you would approach specific business challenges and provide insights based on data analysis.

4. Panel Interview

In some cases, candidates may be invited to a panel interview, which involves meeting with several team members simultaneously. This format allows interviewers to assess how you handle questions from multiple perspectives and how well you communicate your ideas. Questions may cover your past experiences, your approach to problem-solving, and your ability to present data-driven insights to stakeholders.

5. Final Interview

The final stage often includes an interview with senior management or executives. This is an opportunity for you to showcase your strategic thinking and how you can contribute to Tubi's goals. You may be asked to present your previous work or discuss how you would approach specific projects that align with Tubi's objectives.

As you prepare for your interview, consider the types of questions that may arise in each of these stages, particularly those related to your technical skills and your understanding of Tubi's business model.

Here are some tips to help you excel in your interview.

Understand Tubi's Culture and Audience

Tubi is focused on making entertainment accessible to a diverse audience, particularly Gen Z. Familiarize yourself with their content offerings and the trends that resonate with this demographic, such as TikTok. This knowledge will not only help you connect with the interviewers but also demonstrate your understanding of the company's mission and target audience.

Prepare for a Multi-Round Interview Process

Expect a structured interview process that may include multiple rounds, such as phone screenings, technical assessments, and panel interviews. Be ready to discuss your past experiences and how they relate to the role. Given the feedback from previous candidates, it’s crucial to follow up after each round to express your continued interest and to seek updates on your application status.

Showcase Your SQL Proficiency

SQL is a critical skill for this role, so be prepared to demonstrate your expertise. Practice solving complex SQL queries, including joins, nested queries, and data manipulation tasks. You may encounter take-home assignments that require you to analyze datasets and present your findings, so ensure you can articulate your thought process clearly.

Be Ready for Behavioral Questions

Interviewers will likely ask behavioral questions to gauge your fit within the team and company culture. Prepare to discuss your work style, how you handle challenges, and your approach to collaboration. Use the STAR (Situation, Task, Action, Result) method to structure your responses, providing concrete examples from your past experiences.

Communicate Effectively with Stakeholders

As a Business Intelligence Analyst, you will interact with various stakeholders, including executives and product managers. Practice articulating complex data insights in a clear and concise manner. Be prepared to discuss how you would approach translating business problems into analytical frameworks and how you would present your findings to non-technical audiences.

Emphasize Your Analytical Skills

Highlight your experience with data analysis, A/B testing, and KPI development. Be ready to discuss specific projects where you identified trends or provided actionable insights that influenced business decisions. This will demonstrate your ability to drive data-backed decision-making within the organization.

Stay Positive and Professional

Despite some candidates reporting disorganized interview processes, maintain a positive attitude throughout your interactions. Show enthusiasm for the role and the company, and be professional in all communications. This will leave a lasting impression and may set you apart from other candidates.

By following these tips and preparing thoroughly, you can position yourself as a strong candidate for the Business Intelligence role at Tubi. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Business Intelligence Analyst interview at Tubi. The interview process will likely focus on your analytical skills, experience with data visualization, and understanding of key performance indicators (KPIs). Be prepared to discuss your past experiences and how they relate to the role, as well as demonstrate your technical skills, particularly in SQL and data analysis.

SQL and Data Analysis

1. Can you explain the difference between INNER JOIN and LEFT JOIN in SQL?

Understanding SQL joins is crucial for data analysis roles, as they are fundamental in combining data from multiple tables.

How to Answer

Explain the basic definitions of INNER JOIN and LEFT JOIN, and provide a scenario where each would be used.

Example

"An INNER JOIN returns only the rows where there is a match in both tables, while a LEFT JOIN returns all rows from the left table and the matched rows from the right table. For example, if I have a table of users and a table of orders, an INNER JOIN would show only users who have placed orders, whereas a LEFT JOIN would show all users, including those who haven't placed any orders."

2. How would you approach writing a SQL query to find the top 10 products by sales?

This question assesses your ability to write effective SQL queries for data retrieval.

How to Answer

Outline the steps you would take to write the query, including selecting the necessary fields, using aggregate functions, and applying sorting and limiting.

Example

"I would start by selecting the product ID and sales amount from the sales table, then use the SUM function to aggregate sales by product. After that, I would order the results in descending order and limit the output to the top 10 products."

3. Describe a complex SQL query you have written in the past. What was the purpose and outcome?

This question allows you to showcase your SQL skills and problem-solving abilities.

How to Answer

Discuss the context of the query, the specific challenges you faced, and how you overcame them.

Example

"I once wrote a complex SQL query to analyze customer purchasing behavior over a year. It involved multiple joins across several tables, including customers, orders, and products. The outcome was a detailed report that helped the marketing team identify trends and target specific customer segments effectively."

4. What are window functions in SQL, and can you provide an example of how you have used them?

Window functions are essential for performing calculations across a set of table rows related to the current row.

How to Answer

Define window functions and explain their use cases, providing a specific example from your experience.

Example

"Window functions allow you to perform calculations across a set of rows related to the current row without collapsing the result set. For instance, I used the ROW_NUMBER() function to rank sales representatives based on their sales performance while still displaying all their individual sales records."

5. How do you ensure data quality and accuracy in your analyses?

Data integrity is crucial in business intelligence roles, and this question assesses your approach to maintaining it.

How to Answer

Discuss the methods you use to validate data, such as data cleaning techniques, checks for duplicates, and cross-referencing with other data sources.

Example

"I ensure data quality by implementing a series of validation checks, such as removing duplicates, checking for null values, and cross-referencing data with reliable sources. Additionally, I regularly review and update my data cleaning processes to adapt to any changes in data structure."

Business Intelligence and Metrics

1. What KPIs do you consider most important for a streaming service like Tubi?

This question tests your understanding of the business and its metrics.

How to Answer

Identify relevant KPIs for a streaming service and explain why they are significant.

Example

"Key KPIs for a streaming service like Tubi would include Monthly Active Users (MAU), Average Watch Time per User, and Churn Rate. These metrics help gauge user engagement and retention, which are critical for the platform's growth and profitability."

2. Can you describe a time when your analysis led to a significant business decision?

This question allows you to demonstrate the impact of your analytical work.

How to Answer

Share a specific example where your analysis influenced a decision, detailing the process and outcome.

Example

"In my previous role, I conducted an analysis of user engagement metrics that revealed a drop in viewership for certain genres. I presented my findings to the content team, which led to a strategic shift in our content acquisition strategy, ultimately increasing user engagement by 20% over the next quarter."

3. How do you prioritize tasks when working on multiple projects?

This question assesses your time management and organizational skills.

How to Answer

Discuss your approach to prioritization, including any frameworks or tools you use.

Example

"I prioritize tasks based on their impact on business goals and deadlines. I often use a project management tool to track progress and ensure that I allocate time effectively. Regular check-ins with stakeholders also help me adjust priorities as needed."

4. What tools do you use for data visualization, and how do you choose which to use for a specific project?

This question evaluates your familiarity with data visualization tools and your decision-making process.

How to Answer

Mention the tools you are proficient in and explain how you select the appropriate one based on the project requirements.

Example

"I have experience with Tableau and Looker for data visualization. I choose the tool based on the complexity of the data and the audience. For instance, I prefer Tableau for interactive dashboards that require user engagement, while Looker is great for straightforward reporting."

5. How do you handle feedback on your analyses from stakeholders?

This question assesses your communication and collaboration skills.

How to Answer

Discuss your approach to receiving and incorporating feedback, emphasizing the importance of collaboration.

Example

"I view feedback as an opportunity for improvement. I actively listen to stakeholders' concerns and suggestions, and I make it a point to clarify any misunderstandings. I then incorporate their feedback into my analyses to ensure that the final output meets their needs and expectations."