Netflix · 8 hours ago
Analytics Engineer (L4) - Commerce Core
United States
Full-time
Remote
Mid Level
$170K/yr - $720K/yr
3+ years expNetflix is one of the world's leading entertainment services, seeking an Analytics Engineer to support business stakeholders with data and analytics tools. The role involves building scalable analytics solutions, developing key metrics, and collaborating with cross-functional teams to drive business insights and operational excellence.
Digital EntertainmentMedia and EntertainmentTVVideo Streaming
Responsibilities
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
Qualification
Required
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
Preferred
Experience in e-commerce or subscription-oriented businesses is a plus
Benefits
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
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.
Company
Netflix
Netflix is an online streaming platform that enables users to watch TV shows and movies.
10001+ employees
H1B Sponsorship
Netflix has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (310)
2024 (309)
2023 (191)
2022 (261)
2021 (268)
2020 (225)
Funding
Current Stage
Public CompanyTotal Funding
$63.91BKey Investors
Wells FargoTCVGroupe Arnault
2025-12-05Post Ipo Debt· $59B
2024-08-01Post Ipo Debt· $1.8B
2018-05-05Post Ipo Debt· $2.67M
Leadership Team
Gregory Peters
Co-CEO
Ted Sarandos
Co-CEO
Recent News
2026-01-14
2026-01-14
Company data provided by crunchbase