Business Intelligence Engineer - Studios Analytics

Description

Amazon MGM Studios is one of the largest and most ambitious content studios in the world. 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, powering the data platforms and reporting that inform how content is planned, evaluated, and optimized across the entire Prime Video portfolio.

We are looking for a Business Intelligence Engineer to join a dedicated, LA-based Studios Analytics team embedded alongside Amazon MGM Studios leadership. Reporting to the Senior Manager of Studios Analytics, you will build the dashboards, automated reporting, and AI-assisted tooling that give Studios leaders and the Strategy organization real-time visibility into content performance and portfolio health. You will translate the questions of senior content decision-makers into clear, reliable analytical products — and you will do it as part of a larger central technical organization, leveraging shared infrastructure, governed datasets, and established tooling rather than building in isolation.

This is a hands-on, delivery-focused role for someone who is energized by turning messy content and performance data into trusted, self-service reporting that leadership relies on daily.

Key job responsibilities
- Design, build, and maintain dashboards, automated reporting, and analytical tooling that surface title-level performance (launch KPIs, completion, retention) and portfolio views for Studios leadership, primarily through FrameOne and related surfaces.

- Automate high-volume, manual workflows — including templated title-level reporting, talent-facing presentations, and slate/portfolio summaries — with a bias toward scalable, reusable solutions over one-off outputs.

- Partner directly with Studios Strategy, Finance, and content stakeholders to refine ambiguous requests into specific, well-scoped deliverables, anticipating downstream needs.

- Write efficient, well-tested SQL and BI logic against governed datasets, ensuring your solutions are maintainable, performant, and resistant to data quality issues.

- Uphold central metric governance — using the single-source-of-truth definitions for content metrics so that Studios reporting is consistent with official Prime Video and finance reporting.

- Apply AI-assisted tooling to accelerate delivery, in partnership with the organization's AI enablement function.

- Collaborate closely with data engineers, product development, and the financial reporting team to deliver integrated, dependency-light solutions.

- Enable self-service access to underlying data where appropriate, reducing reporting bottlenecks for business stakeholders.

About the team
This role sits on a newly-expanded LA Studios Analytics team embedded with Studios but part of the broader 40+ person central Prime Video Finance Analytics organization. This structure is deliberate: you'll have the proximity of a small, focused team partnering directly with Studios VPs and Strategy, with the leverage of shared central infrastructure, governed data, and a dedicated AI enablement function behind you.

Basic Qualifications

- Bachelor's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Knowledge of SQL and data warehousing concepts
- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
- Experience working directly with business stakeholders to translate between data and business needs
- Experience in data analysis, reporting, and forecasting to guide business decisions
- Knowledge of methods for statistical inference (e.g. regression, experimental design, significance testing)

Preferred Qualifications

- Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Knowledge of distributed systems as it pertains to data storage and computing
- Knowledge of basic modeling techniques such as linear regression, ANOVA etc.
- Experience in digital media/marketing strategy, data analysis, analytics & visualization
- Experience applying AI-assisted tooling to accelerate analytical or reporting workflows.

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.