Analytics Engineer L4

One of the world's leading entertainment services with 283 million paid memberships in over 190 countries.
California City, CA, USA
$150,000 - $750,000
Data
Mid-Level Software Engineer
Remote
5,000+ Employees
4+ years of experience
Entertainment

Description For Analytics Engineer L4

Netflix, a global entertainment powerhouse with 283 million paid memberships across 190+ countries, is seeking an Analytics Engineer L4 to join their Data Science and Engineering (DSE) team. This role combines technical expertise with business acumen, focusing on using data and analytics to enhance Netflix's content strategy and business operations.

The position offers an exciting opportunity to work with Netflix's games portfolio, creating impactful analyses and tools while collaborating with cross-functional teams. As an Analytics Engineer, you'll be instrumental in transforming complex metrics and data science outputs into actionable insights that drive member value.

The ideal candidate brings 3-5 years of analytics experience, demonstrating proficiency in SQL, data pipeline engineering, and various analytical techniques. You'll work with cutting-edge big data technologies and visualization tools, making data-driven decisions that impact Netflix's global entertainment platform.

What makes this role particularly attractive is Netflix's unique culture of freedom and responsibility, coupled with their competitive compensation structure ranging from $150,000 to $750,000. The position offers remote work flexibility from California, allowing you to contribute to one of the world's most innovative entertainment companies while maintaining work-life balance.

This role is perfect for someone who thrives in ambiguous environments, possesses strong communication skills, and has a passion for using data to solve complex business challenges. You'll be joining a company that values inclusion, celebrates diversity, and provides opportunities to work on projects that impact millions of users worldwide.

Last updated 2 days ago

Responsibilities For Analytics Engineer L4

  • Create impactful analyses, metrics, reports, dashboards, and custom tools to reveal in-depth insights into games performance
  • Work cross-functionally to identify opportunities that enhance overall games portfolio strategy
  • Team up with data and insights colleagues to develop robust, scalable solutions
  • Work with Data Engineering partners and Data Scientists to ensure quality data support
  • Perform proactive data exploration and analytical deep dives to discover insights or future opportunities

Requirements For Analytics Engineer L4

  • 3-5 years of experience in analytics
  • Exceptional communication and collaborative skills
  • Experience with data analysis techniques (regression, cohort, cluster, time series, factor)
  • Experience with visualization and BI tools (Tableau, Looker, Power BI, Microstrategy)
  • Fluency in SQL for working with big data
  • Experience in engineering data pipelines and orchestrating workflows
  • Strong communication skills with technical and non-technical stakeholders
  • Ability to work with minimal oversight and handle ambiguity
  • Attention to detail and understanding of cause and effect
  • Growth mindset and desire for expanding technical and non-technical skills

Interested in this job?

Jobs Related To Netflix Analytics Engineer L4

Analytics Engineer (L4) - Acquisition

Analytics Engineer role at Netflix focusing on acquisition analytics and consumer growth strategy using data-driven insights and A/B testing.

Data Engineer, MIDAS Digital Intelligence

Data Engineer position at Amazon focusing on digital intelligence and analytics, requiring 3+ years of experience in data engineering, ETL, and SQL.

Data Engineer, Customer Experience and Business Trends

Data Engineer role at Amazon focused on building data pipelines and analytics infrastructure for Customer Experience & Business Trends team.

Data Engineer, Amazon Music

Data Engineer role at Amazon Music focusing on building and maintaining scalable data platforms to support business decisions and product improvements.

Business Intelligence Engineer, EU Hardlines Marketing

Business Intelligence Engineer role at Amazon focusing on developing automated marketing models and customer insights analytics for EU Hardlines, combining data engineering with marketing innovation.