Prime Video Business Analyst interview questions & guide 2026

The following questions are representative of the patterns identified in recent Prime Video interview experiences. While the exact questions will vary by team and interviewer, focus on mastering the underlying logic and the ability to articulate your thought process clearly.

Technical Proficiency (SQL & Data Analysis)

These questions test your ability to query large datasets efficiently and extract meaningful information using standard industry tools.

• How would you calculate the year-over-year growth rate for daily active users?
• Write a query to find the top 5 most-watched shows in each region using window functions.

Success at Prime Video requires a balance of technical capability and alignment with the company's unique culture. You should prepare by practicing your technical skills until they are second nature, allowing you to focus your mental energy on the "why" and "how" of your business recommendations.

Technical Competency – You must demonstrate mastery of SQL, including complex joins, window functions, and subqueries. Proficiency in Python (pandas, numpy) and visualization tools is often expected, as you will need to communicate your findings to non-technical stakeholders.

Analytical Problem-Solving – Interviewers look for your ability to break down ambiguous business problems into structured, measurable components. You should always clarify assumptions before diving into a solution and ensure your methodology is sound.

Leadership & Culture – Your answers must reflect the Amazon Leadership Principles, such as Customer Obsession, Dive Deep, and Deliver Results. Do not provide generic answers; use specific examples from your past work that showcase your initiative and impact.

The interview process at Prime Video is rigorous and designed to assess both your technical "hard skills" and your cultural alignment. You should expect a structured sequence that typically begins with a recruiter screening, followed by technical assessments (often including a SQL or case study test), and culminating in a multi-round "loop" of interviews with different team members, including potential peers and cross-functional partners.

This timeline illustrates the progression from initial screening to the final loop. Use this structure to pace your preparation, ensuring you have enough time to review both your technical fundamentals and your behavioral stories before the final rounds. Note that some teams may include a Bar Raiser—an interviewer from a different department—who is specifically tasked with ensuring you meet the high hiring bar of the company.

SQL and Data Manipulation

This is the core of the Business Analyst role. You must be able to write clean, efficient, and accurate queries under pressure. Strong performance means not just writing code that works, but code that is optimized for large-scale data environments.

Be ready to go over:

• Joins, aggregations, and filtering.
• Window functions (RANK, LEAD/LAG).
• Handling complex data structures (JSON, nested data).

Example scenarios:

• "How would you optimize a query that is running too slowly on a massive user-event table?"
• "Compare the performance of different join types for this specific schema."

Business Metric Definition

You will be evaluated on your ability to define the right metrics for a product. A strong candidate understands the difference between vanity metrics and true business drivers.

Be ready to go over:

• Selecting KPIs for new features.
• Understanding trade-offs (e.g., impact on engagement vs. impact on revenue).
• Defining success for long-term vs. short-term goals.

Example scenarios:

• "What three metrics would you track to measure the health of a new subscription tier?"

As a Business Analyst, your primary responsibility is to act as the "eyes and ears" of the business through data. You will spend your day querying databases to track performance, building dashboards that provide visibility for leadership, and performing ad-hoc analysis to answer critical business questions.

You will collaborate heavily with Product Managers, Software Engineers, and Marketing teams. You aren't just an analyst; you are a consultant for these teams. You will help them define success criteria for experiments, provide insights during the product development lifecycle, and translate complex technical outcomes into simple, actionable narratives.

To be competitive for this role, you must demonstrate a mix of technical proficiency and business acumen.

• Must-have skills: Advanced SQL (required), experience with data visualization tools (e.g., Tableau, QuickSight), and strong proficiency in Excel.
• Nice-to-have skills: Experience with Python or R for statistical analysis, knowledge of cloud data warehouses (e.g., Redshift), and experience in the streaming or media industry.
• Experience: You should have a proven track record of using data to drive business impact, ideally with 2+ years of experience in a quantitative role.

Q: How long should I spend preparing? A: Most successful candidates spend 3–4 weeks of dedicated time. Focus on drilling SQL problems and mapping your past experiences to specific Leadership Principles.

Q: What is the "Bar Raiser" interview? A: A Bar Raiser is a neutral interviewer from a different team whose goal is to ensure you possess the potential to be a top performer. Treat this round with the same (or higher) level of seriousness as your hiring manager interview.

Q: Is the technical assessment always live? A: Not always. Some candidates report taking an independent assessment, while others face live coding rounds. Be prepared for both.

• Structure your answers: For every behavioral question, use the STAR method (Situation, Task, Action, Result). This keeps your story focused and ensures you highlight your specific contribution.
• Think aloud: During technical rounds, explain your thought process. Interviewers are often more interested in how you approach a problem than the final syntax.
• Master the Principles: The Leadership Principles are not just slogans; they are the rubric used to grade your behavioral answers. Familiarize yourself with them deeply.

The Business Analyst position at Prime Video is a high-visibility, high-impact role that offers the opportunity to influence the future of digital entertainment. The interview process is challenging, but it is also highly structured, rewarding those who prepare with precision and clarity. By focusing on your SQL proficiency, your ability to define business metrics, and your alignment with Amazon Leadership Principles, you will be well-positioned to succeed.

We encourage you to use this guide as a foundation for your preparation. For further practice and to see how your skills compare to typical interview benchmarks, explore the additional resources available on Dataford. You have the capability to succeed; stay focused, practice consistently, and approach your interviews with the confidence of an owner.

The salary module provides insights into the typical compensation structure for this role, including base pay, stock options, and potential bonuses. Use these figures to understand the market value of the position and to benchmark your expectations during the negotiation phase of your candidacy.