As a Business Analyst at Tubi, you will sit at the intersection of data, product development, and business strategy. Tubi is a leading free, ad-supported streaming television (FAST) service with tens of millions of active users. Because Tubi relies on an ad-supported model (AVOD) rather than subscriptions, understanding user behavior, engagement patterns, and ad delivery performance is fundamental to the company's survival and growth.

In this role, you will analyze massive datasets to uncover insights that directly influence content acquisition, product features, and monetization strategies. You will work with petabytes of streaming data, evaluating how users interact with the content library, recommendation engines, and ad placements. Your insights will help the business decide which content to license, how to optimize the user interface, and how to maximize ad revenue without compromising the viewer experience.

This position is highly collaborative and carries significant strategic influence. You will not just generate dashboards; you will translate complex data into actionable narratives for product managers, engineering teams, and executive leaders. For anyone passionate about entertainment, streaming technology, and big data, this role offers an unparalleled opportunity to make a measurable impact on a rapidly growing global platform.

The following questions are representative of what you can expect during the Tubi interview process. These questions are drawn from real candidate experiences and are designed to test your technical execution, business intuition, and behavioral alignment.

SQL & Technical Skills

This category evaluates your ability to manipulate, clean, and extract insights from large-scale databases. Expect questions that test your understanding of relational databases and data querying.

• Write a query to find the top three most-watched content genres on Tubi for the last month, broken down by active user segment.
• How would you optimize a slow-running SQL query that joins a massive streaming history table with a user metadata table?

Preparing for an interview at Tubi requires a balanced approach. You must demonstrate sharp technical capabilities alongside strong business acumen and communication skills.

To succeed, you should focus your preparation on the following key evaluation criteria:

Role-Related Knowledge – You must demonstrate a deep understanding of data analysis methodologies, relational databases, and data visualization tools. Be prepared to show how you use SQL to solve complex business queries and how you design clean, intuitive dashboards that stakeholders can easily interpret.

Structured Problem Solving – Tubi values candidates who can approach ambiguous problems systematically. When faced with a business case or metric dip, you should be able to break the problem down into logical hypotheses, identify the data needed to test those hypotheses, and propose clear, actionable solutions.

Communication and Influence – As a Business Analyst, you will act as a bridge between technical and non-technical teams. You must be able to explain complex data concepts in simple terms and build compelling narratives that influence product and business decisions.

Cultural Alignment – Tubi looks for curious, collaborative, and highly personal team members. Show that you are passionate about the streaming industry, eager to learn, and comfortable working in a fast-paced environment where cross-functional teamwork is essential.

The interview process for the Business Analyst position at Tubi is structured to evaluate both your technical proficiency and your interpersonal fit. Candidates consistently report that the process is highly organized, transparent, and marked by clear, frequent communication from the recruiting team.

The journey begins with an initial recruiter call, followed by a deeper conversation with the hiring manager to evaluate your resume and problem-solving approach. The final stage is a comprehensive panel interview that brings together future teammates, cross-functional stakeholders, and senior leadership. Throughout the process, the interviewers aim to get to know you on a personal level while rigorously assessing your analytical skills.

The visual timeline above outlines the typical progression of the Tubi hiring process. Candidates should use this timeline to pace their preparation, ensuring they allocate sufficient time to practice SQL before the technical assessment and refine their behavioral stories before the panel interviews. While the exact timing can vary depending on team availability, the overall structure remains highly consistent.

To excel in the Tubi interview process, you must understand exactly what interviewers are looking for in each core competency area.

SQL & Technical Execution

Technical execution is a non-negotiable component of the Business Analyst interview at Tubi. Because you will be working with massive tables tracking user events, ad bids, and media streams, you must prove that you can write efficient, accurate queries under pressure.

Be ready to go over:

• Complex Joins and Aggregations – Understanding how to combine multiple tables (e.g., user registrations, device details, and viewing sessions) without duplicating data or creating Cartesian products.
• Window Functions – Utilizing functions like ROW_NUMBER(), RANK(), LEAD(), and LAG() to analyze sequential user behavior, such as session durations and viewing paths.
• Conditional Logic – Using CASE WHEN statements to segment users, categorize content, or clean messy data fields on the fly.
• Advanced concepts (less common) – CTEs (Common Table Expressions), subqueries, and query optimization techniques to handle high-volume streaming datasets efficiently.

Example questions or scenarios:

• "Write a query to identify users who watched more than three different genres of content in their first week of signing up."
• "How would you write a query to find the daily active users (DAU) who experienced an ad-loading error, grouped by their device type?"

Business Case Analysis & Product Sense

Tubi operates in a highly competitive streaming landscape. Interviewers will assess whether you can connect data points to broader business outcomes, such as user retention, content ROI, and ad monetization efficiency.

Be ready to go over:

• A/B Testing and Experimentation – How to design an experiment, define control and variant groups, select primary and secondary metrics, and interpret the statistical significance of the results.
• Funnel Analysis – Analyzing the user journey from landing on the platform to signing up, clicking on a video, and completing a streaming session.
• Ad Tech Metrics – Understanding key industry terms like fill rate, ad impressions, CPM (cost per mille), and ad load, and how they impact overall revenue.

Example questions or scenarios:

• "If our product team wants to reduce the number of ads shown per hour to improve user retention, how would you calculate the trade-off between long-term retention value and immediate ad revenue loss?"
• "We want to launch a new email campaign targeting lapsed users. How would you design a framework to measure the incremental lift of this campaign?"

Cross-Functional Collaboration & Communication

A successful analyst at Tubi does not work in a vacuum. You will continuously collaborate with engineers who build data pipelines, product managers who design features, and executives who make high-level strategic bets.

Be ready to go over:

• Stakeholder Management – How you gather requirements from non-technical partners and manage competing priorities.
• Data Storytelling – Translating raw numbers into visually compelling dashboards and clear executive summaries.
• Conflict Resolution – Navigating situations where data contradicts a stakeholder's intuition or creative vision.

Example questions or scenarios:

• "Tell me about a time you had to deliver bad news to a product manager—such as a feature they designed actually hurting user engagement metrics."
• "Describe a time when you had to build a dashboard for an executive. How did you decide what metrics to include and what to leave out?"