The Analytics Engineer will join the Promotional Media AI for Member Systems team at Netflix, focusing on designing and developing analytic tools to enhance the performance of promotional assets and marketing strategies. This role involves collaborating with cross-functional teams, including ML engineers and data scientists, to optimize recommendation algorithms and monitor data solutions. The engineer will translate creative requirements into measurable objectives and ensure the effectiveness of automated pipelines. This position is crucial for driving subscriber growth and improving member experience through data-driven insights.

• Proven track record of designing and developing scalable analytic tools and systems.
• High proficiency in standard tech stack including Python, SQL, and Spark.
• Familiarity with statistical inference and data analysis fundamentals.
• 5+ years of relevant experience in building data products powered by big data.
• Exceptional communication and collaboration skills with strong business acumen.

• Act as a strategic partner for stakeholders to identify analytic opportunities.
• Drive the direction and execution of work from developing code to designing dashboards.
• Translate ambiguous creative requirements into measurable objectives.
• Build and maintain observability for automated pipelines to track performance.
• Partner closely with machine learning engineers to improve asset creation 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.