Job Description

Netflix is seeking a Senior Analytics Engineer to join the Media Science DSE team, focusing on metrics and data science 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.

Requirements

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

Responsibilities

Develop and execute new measurement frameworks and identify analytic opportunities for media production workflows
Drive the direction of work, from scrappy code and prototypes 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

Benefits

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.