[Hiring] Analytics Engineer @Netflix

Role Description

We are searching for an Analytics Engineer who is passionate about building scalable analytics solutions, developing metrics that drive executive decision-making, and experimenting with modern technologies. You will collaborate with cross-functional partners including Data Engineering, Finance, Product, and Engineering teams, to develop insights and tools that support critical business decisions and operational excellence at Netflix.

In this role, you will:

• Partner with Data Engineers to design and implement robust data models and pipelines that enable richer, faster, and more accurate analysis.
• Design, build, and maintain scalable, self-service analytics tools and data products to drive adoption across the business.
• Develop, define, and maintain key metrics and dashboards for executive and business-critical reporting.
• Proactively identify gaps and opportunities for innovation in analytics engineering, and drive initiatives to address them.
• Experiment with and evaluate new technologies, including Generative AI solutions, to improve analytics, reporting, and data accessibility.
• Translate complex data insights and technical concepts into clear, actionable recommendations for technical and non-technical stakeholders.

Qualifications

• A degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering, or similar), and 3+ years of experience in data engineering, data science, analytics engineering, or a similar data field.
• Proficient in PySpark or Scala Spark, with experience building and scaling data models, pipelines, and analytics tools.
• Advanced SQL skills, with experience working in complex data environments.
• Experience with scripting languages, particularly Python.
• Familiarity with modern data technologies such as Trino, Spark, and Snowflake.
• Understanding of data governance, data lineage, and cataloging, and their importance for data quality and automation.
• Experience with data visualization platforms (e.g., Tableau, Looker, Plotly) and a strong ability to communicate data-driven stories.
• Familiarity with Generative AI/ML concepts and a passion for experimenting with new technologies.
• Excellent verbal and written communication skills, with the ability to articulate metric definitions, data insights, and project roadmaps to diverse audiences.
• You relate to and embody many aspects of Netflix's Culture . You love working independently, are comfortable with ambiguity, and have a passion for continuous learning.
• Experience in e-commerce or subscription-oriented businesses is a plus.

Requirements

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000.

Benefits

• Comprehensive benefits including 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, and 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.

See more detail about our Benefits here .

Company Description

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

As Netflix's business grows, it becomes increasingly important to support a wide set of business stakeholders with the right data, metrics, and analytic tools. Our Commerce Core team within Finance Data Science and Engineering ensures we accurately measure Netflix’s business success, enabling our partners to access key metrics and leverage data efficiently to deepen their understanding of the business and optimize our business around the globe.