To succeed in the Roku interview process, you must demonstrate a balance of technical execution and strategic thinking. Your preparation should focus on showing that you can not only build data pipelines and query databases but also translate those technical outputs into clear business recommendations.

Role-Related Knowledge – You must have a strong command of SQL, data visualization tools, and basic statistical concepts. Interviewers will test your ability to work with relational databases and expect you to write error-free SQL queries in real-time.

Problem-Solving Ability – Roku values structured thinkers. When presented with ambiguous business problems, you should be able to break them down into logical components, identify the necessary data points, and outline a clear analytical framework to find the solution.

Communication & Influence – As a Business Analyst, you will regularly present findings to non-technical stakeholders. You must be able to explain complex analytical methodologies in simple terms and build compelling, data-backed narratives that drive action.

Culture Fit & Resilience – Roku operates in a fast-paced, rapidly evolving industry. You should demonstrate adaptability, a proactive mindset, and the ability to remain collaborative and professional even during rigorous or challenging interview loops.

The interview process for a Business Analyst at Roku is designed to thoroughly evaluate your technical capabilities and business acumen. While the process is structured to ensure high standards, candidates have reported varying experiences regarding the pace and organization of the stages. It is important to remain patient and highly prepared at every step.

The journey typically begins with an initial recruiter screening to assess your background and alignment with the role. This is followed by a dedicated technical screening focused heavily on your SQL skills. If you pass this stage, you will move to a hiring manager interview, where the focus shifts to your past experience, product intuition, and understanding of Roku's business ecosystem. The final stage is a comprehensive panel interview consisting of multiple consecutive rounds with different stakeholders.

The visual timeline above outlines the standard progression of the Roku interview loop. Candidates should use this sequence to pace their preparation, focusing heavily on SQL mastery in the early stages before transitioning to business case studies and behavioral alignment for the final panel. Note that the exact number of panel interviews can vary depending on the team and seniority level.

SQL and Data Querying

SQL is the most critical technical barrier you must pass. Roku interviewers expect you to write clean, efficient queries on the spot. You will be evaluated on your syntax, logical structuring, and optimization skills.

Be ready to go over:

• Complex Joins and Aggregations – Understanding how to combine multiple tables with different granularities without duplicating data.
• Window Functions – Mastery of functions like ROW_NUMBER(), RANK(), LEAD(), and LAG() for analyzing sequential user behavior.
• Subqueries and CTEs – Organizing complex queries logically using Common Table Expressions (CTEs) to ensure readability and maintainability.
• Advanced concepts (less common) – Query performance optimization, indexing strategies, and handling null values or data type conversions in large-scale databases.

Example questions or scenarios:

• "Write a query to identify the top 10% of users based on their total streaming duration last month."
• "How would you handle duplicate ad-impression records in a table to ensure accurate billing calculations?"
• "Construct a query that outputs a rolling 7-day average of active devices."

Business Case Study & Metrics

This area tests your ability to apply analytical thinking to real-world business challenges faced by Roku. You must demonstrate a deep understanding of the streaming industry and digital advertising business models.

Be ready to go over:

• User Lifecycle Metrics – Tracking acquisition, engagement, churn, and lifetime value (LTV) of viewers.
• Monetization Analysis – Evaluating ad fill rates, cost per mille (CPM), subscription conversion rates, and revenue leakage.
• A/B Testing and Experimentation – Understanding how to design experiments, define sample sizes, and interpret statistical significance for product features.

Example questions or scenarios:

• "How would you measure the impact of a new content recommendation algorithm on user retention?"
• "What analysis would you perform to determine if Roku should increase its ad frequency during live sports broadcasts?"
• "A key streaming partner reports a drop in sign-ups through the Roku Pay platform. Walk me through your diagnostic process."

Technical Resume Verification

Roku interviewers, including senior data engineers and managers, will dive deep into your resume. They want to ensure that your stated experience matches your actual technical depth.

Be ready to go over:

• Past Project Architecture – Explain the data pipelines, tools, and methodologies you used in your previous roles.
• Business Impact – Be ready to quantify the results of your analyses (e.g., "reduced churn by 3%" or "optimized ad spend by 15%").
• Methodological Justification – Defend why you chose specific models, tools, or analytical approaches over alternatives in your past work.

Example questions or scenarios:

• "Walk me through the data pipeline of the churn prediction model you listed on your resume. Why did you choose those specific features?"
• "You mentioned optimizing database queries in your last job. What specific changes did you make, and what was the performance improvement?"