Netflix is seeking a Senior Analytics Engineer to join the Media Science DSE team, focusing on data science and metrics to enhance content media production and management workflows. The role involves collaborating with product managers and business teams to design metrics, develop analytic tools, and provide insights that drive global media production strategy.

• 8+ years of demonstrated experience with data wrangling, data analysis, metric visualization, and data storytelling
• Expert in SQL and Python, with experience in data visualization tools like Tableau, Plotly, or Streamlit
• Exceptional communication and collaboration skills with strong business acumen
• Comfortable operating in ambiguity and a fast-paced environment
• Experience designing observational causal inference studies and A/B tests is a plus

• Develop and execute new measurement frameworks and identify analytic opportunities
• Drive the direction of work, from scrappy code to high-visibility dashboards
• Establish and maintain strong partnerships with business, product, and data-oriented stakeholders
• Present analytical methodology and findings to both technical and non-technical partners
• Collaborate with other Analytics Engineers & Data Engineers to source data and strengthen foundational data models

• Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.