Sr. Manager, Studios Analytics, Prime Video Finance

Amazon is hiring a Sr. Manager, Studios Analytics, Prime Video Finance in Culver City, United States. It pays $171k-$231k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this finance role Uses AI ●●○○: an ordinary role that requires AI tools.
The listed pay starts 62% above the typical finance posting on Level.
Tools and skills the posting cites include Tableau, data engineering and business intelligence.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Lead a team of data engineers and analysts supporting Amazon MGM Studios finance, leveraging AI tooling for efficiency.

Tableau

data-engineeringbusiness-intelligenceanalyticsfinancial-planningleadership

Amazon MGM Studios is one of the largest and most ambitious content studios in the world, producing and acquiring film and television across every genre and geography. The Prime Video Finance Analytics organization supports this business with a centralized team of 40+ technical specialists spanning data engineering, business intelligence, data science, and product development. This team powers the data platforms and reporting that inform how content is planned, evaluated, and optimized across the entire Prime Video portfolio.

We are seeking a Senior Manager, Studios Analytics to serve as the primary analytics partner to the Amazon MGM Studios Finance and Strategy organizations. Based in Los Angeles and embedded alongside Studios leadership, you will own the analytics relationship with some of the most senior decision-makers in the content business, translating their most pressing questions about content performance, portfolio strategy, and operational efficiency into rigorous, scalable, data-driven solutions.

In this role, you will lead a team of business intelligence engineers and data engineers dedicated to Studios analytics. You will set the vision for how analytics supports the Studios business, own the prioritization of your team's roadmap, and drive delivery of dashboards, automated reporting, and analytical tooling that give Studios leaders real-time visibility into the performance of their content. You will partner closely with centralized data engineering, product development, and financial reporting teams to ensure your team leverages shared infrastructure, governed datasets, and existing platforms rather than building in isolation. Maintaining consistency across the broader Prime Video analytics ecosystem is critical.

You will be a thought leader for analytics within the Studio. You will represent the analytics function in senior leadership forums, influence how content performance data is structured and surfaced, and raise the bar on how data informs content decisions. You will identify opportunities to automate high-volume, manual workflows, including talent-facing presentations, portfolio summaries, and compliance reporting. You will also drive adoption of AI-powered tooling to accelerate delivery and scale your team's impact.

As a senior leader, you will be responsible for building and developing a high-performing team in Los Angeles. This means recruiting top talent, setting technical standards, and fostering a culture of analytical rigor, speed, and customer obsession. You will manage the full lifecycle of analytics delivery, from problem framing and stakeholder alignment through to production-quality outputs that are trusted by Studios leadership.
The ideal candidate brings deep experience in analytics, business intelligence, or data engineering leadership, with a proven track record of partnering with senior business stakeholders in a fast-paced, ambiguous environment. You are equally comfortable diving into the technical details of a data pipeline and presenting insights to a room of VPs. You think holistically across organizational boundaries, build collaborative relationships, and have a bias toward automation and scalable solutions over manual work. Experience in media, entertainment, or content analytics is preferred but not required. What matters most is your ability to translate complex business problems into clear analytical frameworks and deliver results that drive decisions.

Key job responsibilities
1) Serve as the primary analytics partner to Studios Finance and Strategy leadership. Understand their most critical business questions and ensure they have timely, accurate data to inform content and portfolio decisions.
2) Set organizational priorities by balancing stakeholder needs, business impact, and technical feasibility. Define the Studios analytics roadmap and ensure the team focuses on the highest-leverage work.
3) Lead the design, development, and maintenance of dashboards, automated reporting, and analytical tooling that give Studios leaders real-time visibility into content performance and portfolio health.
4) Drive automation of high-volume manual workflows including talent-facing presentations, slate summaries, and compliance reporting.
5) Partner with centralized product development, data engineering, and financial reporting teams to influence platform roadmaps and maintain consistency with enterprise-wide data governance standards.
6) Own AI integration and adoption for Studios analytics, leveraging the broader organization's AI capabilities to accelerate delivery and scale output.
7) Hire, develop, and lead a high-performing team. Set technical standards, mentor team members, and build a culture of analytical rigor and customer obsession.
8) Represent the analytics function in senior leadership forums, communicating insights and providing a point of view on how data should inform content strategy.

Basic qualifications

- Knowledge of SQL and Excel
- Master's degree or above in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or PhD
- 10+ years of business intelligence and analytics experience
- 10+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience

Preferred qualifications

- Knowledge of a scripting language (Python, R, etc.)
- MBA
- Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations and analytical platforms
- Knowledge of methods for statistical inference (e.g. regression, experimental design, significance testing)
- Knowledge of large scale distributed systems (e.g., Spark, Hadoop)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Culver City - 170,600.00 - 230,800.00 USD annually

How we rate this

Sr. Manager, Studios Analytics, Prime Video Finance at Amazon rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Sr. Manager, Studios Analytics, Prime Video Finance is an open job at Amazon.
Level rates this role AI Level 2 of 4: Uses AI.
The listed salary is $171k-$231k a year.
The role is based in US, CA, Culver City.
The job was posted on September 11, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringBusiness IntelligenceAnalyticsFinancial PlanningLeadershipTableau

Also common in finance jobs at this level

Generative AI AI agents AWS Snowflake LLM Databricks

Pay

This job starts at: $171k
Typical finance job: $105k

This posting starts 62% above the typical finance job. See finance jobs

Questions you could be asked

Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where business intelligence was part of your work. What did you do?
Tell me about a project where analytics was part of your work. What did you do?
Tell me about a project where financial planning was part of your work. What did you do?
Tell me about a project where leadership was part of your work. What did you do?

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List these exact terms on your resume: Data Engineering, Business Intelligence, Analytics, Financial Planning, and Leadership. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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