[Remote] Analytics Engineer 5 - Content Finance DSE

Note: The job is a remote job and is open to candidates in USA. Netflix is a global entertainment engine that creates original shows and films while investing billions in content every year. They are seeking a Senior Analytics Engineer to join the Content Finance DSE team, which is responsible for building data products and insights that drive content budget allocation and investment strategies. The role involves partnering with various stakeholders, owning data products, and mentoring teammates while leveraging AI tools for development.

Responsibilities

• Be a strategic partner to Content Finance stakeholders — CFP&A, content planning, production finance, and content accounting — identifying impactful analytical problems and delivering data solutions that drive better decisions
• Own business-critical data products end-to-end: from metric definition and data modeling to documentation, testing, and ongoing reliability
• Champion a "data as a product" mindset — setting the standard for robust documentation, testing, and model design that makes data easy to understand, trust, and extend
• Design and maintain core metrics and semantic models that power planning cycles, forecasting, and executive reporting
• Drive root-cause analysis on data issues and workflow gaps — asking "why" to understand the drivers and proactively improve pipelines, models, and definitions
• Partner cross-functionally with Data Engineering, Finance, Data Science, and downstream consumers to define the future vision for key finance data products
• Mentor and uplevel teammates, sharing best practices in analytics engineering, code quality, and product-minded data development
• Leverage AI tools (e.g., Claude Code, Cursor, MCP servers) to accelerate development and share learnings with the team

Skills

• 8+ years of experience in analytics or data engineering, ideally in high-stakes, business-critical data environments
• Expert in SQL; proficient in Python for data wrangling, scripting, and pipeline work
• Strong data modeler with experience designing scalable, future-proof models that serve multiple stakeholders and use cases
• Familiarity with DBT or other semantic modeling tools; experience with workflow orchestration
• You have a 'data product owner' mindset — you think beyond the pipeline to the end user, the decision they need to make, and how the data product unlocks value
• Exceptional communication skills; comfortable presenting methodology and findings to both technical and non-technical partners, including executive leadership
• Proven ability to drive cross-functional alignment on metric definitions and data standards in a matrixed organization
• Comfortable operating in ambiguity; a self-starter who takes ownership and drives projects forward with minimal oversight
• Curious and open to leveraging GenAI and emerging AI tools where they create durable value
• Netflix culture resonates with you
• Experience working with financial datasets, FP&A workflows, or content finance systems
• Experience with big data technologies (Spark, Iceberg) and lakehouse architectures
• Familiarity with LookML or other semantic layer tools

Benefits

• Health Plans
• Mental Health support
• A 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• Paid leave of absence programs
• Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
• Full-time salaried employees are immediately entitled to flexible time off

Company Overview

Company H1B Sponsorship