Note: The job is a remote job and is open to candidates in USA. Netflix is a global entertainment company focused on pushing the boundaries of storytelling and technology. They are seeking a Senior Analytics Engineer to serve as a strategic partner to Content Finance stakeholders, delivering impactful analytical solutions and owning critical data products to enhance decision-making processes.
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