Business Intelligence Engineer, Studios Analytics

Amazon Inc.; New York (NY); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon MGM Studios seeks a hands-on Business Intelligence Engineer to join the LA-based Studios Analytics team embedded with Studios leadership. You will turn messy content and performance data into trusted, self-service reporting used by senior decision-makers daily.

Design and build dashboards, automate reporting, and apply AI-assisted tooling while partnering with Studios Strategy, Finance, and content stakeholders to deliver scalable, well-scoped analytics.

Qualifications

• Bachelor's degree or above in a quantitative field such as BI, finance, engineering, statistics, CS or related fields.
• 3+ years analyzing and interpreting data with Redshift, Oracle, NoSQL, or similar technologies.
• Knowledge of SQL and data warehousing concepts.
• Experience with reporting and data visualization tools (Quick Sight, Tableau, Power BI) and communicating insights to business stakeholders.
• Experience translating data into business needs and driving data-driven decisions.
• Knowledge of statistical inference methods (regression, experimental design, significance testing).

Responsibilities

• Design, build, and maintain dashboards and automated reporting to surface title-level performance and portfolio views.
• Automate high-volume workflows with scalable, reusable solutions.
• Partner with Studios Strategy, Finance and content stakeholders to refine requests into well-scoped deliverables.
• Write efficient SQL and BI logic against governed datasets, ensuring maintainability and data quality.
• Uphold central metric governance with single-source-of-truth definitions for content metrics.
• Apply AI-assisted tooling to accelerate delivery in collaboration with the AI enablement function.
• Collaborate with data engineers, product teams, and finance to deliver integrated solutions.
• Enable self-service access to underlying data where appropriate.

Skills

SQL

Data analysis

Stakeholder communication

BI data visualization

Education

Bachelor's degree

Master's degree

Tools

QuickSight

Tableau

Power BI

Job description

Business Intelligence Engineer, Studios Analytics

Job ID: 10564107 | Amazon.com Services LLC

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.

Compensation

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.

Benefits

• 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
• Parental leave

Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, CA, Culver City - 99,500.00 - 160,000.00 USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.