Analytics Engineer 4 - Content Data Science & Engineering

Overview As an Analytics Engineer at Netflix, you will leverage data, analytics, and models to support content performance across a vertical. You partner with cross-functional teams to translate metrics into actionable insights that shape content strategy and member value. You’ll build scalable analyses, dashboards, and tools to reveal deeper insights on how titles perform. This role sits at the intersection of data science, engineering, and business impact, offering influence on what Netflix creates and how it reaches audiences. Compensation / BenefitsHealth PlansMental Health support401(k) with employer matchStock Option ProgramDisability ProgramsHealth Savings and Flexible Spending Accounts ResponsibilitiesCreate analyses, metrics, dashboards, and tools to reveal insights into content performanceCollaborate cross-functionally to identify opportunities that enhance the vertical's content strategyWork with data and insights colleagues to develop scalable solutions for the business Key requirements3+ years of analytics experience with proven business impactFluent in Python and SQL for big data (Spark, Trino)Experience engineering data pipelines and orchestrating workflows (Airflow, Metaflow)Proficient in delivering actionable insights using regression, cohort, clustering, time series, and related techniquesExperience with visualization/BI tools (Tableau, Looker, Power BI, MicroStrategy)Strong communication skills and ability to build relationships with diverse stakeholdersComfort with ambiguity and self-directed project managementGrowth mindset with a willingness to expand technical and non-technical skillscollaborationclear communicationstakeholder managementPythonSQLSpark