Senior Analytics Engineer (L5)

Netflix is one of the world's leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages.
$170,000 - $720,000
Data
Senior Software Engineer
Remote
5,000+ Employees
5+ years of experience
AI · Entertainment · Gaming
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Description For Senior Analytics Engineer (L5)

Netflix is seeking a Senior Analytics Engineer (L5) to join their Games DSE team, leading end-to-end analytics & data needs for the Games Platform and Health space. This role will partner with stakeholders from Game Platform, Product, and Engineering to drive strategy on game & portfolio health for Mobile and Cloud games. The ideal candidate will have 5+ years of experience in leveraging technical skills in manipulating large data sets with complex SQL and Python, big data technologies, and visualization tools. They should have exceptional communication and collaboration skills, strong business acumen, and be comfortable with ambiguity. The role involves leading end-to-end development of reports/dashboards/tools, performing data exploration, and being a bridge between business and tech. Netflix offers a comprehensive benefits package and a unique culture focused on freedom and responsibility. The compensation range for this role is $170,000 - $720,000, with the option to choose between salary and stock options. Netflix is committed to diversity and inclusion and is an equal-opportunity employer.

Last updated 8 months ago

Responsibilities For Senior Analytics Engineer (L5)

  • Partner with Game stakeholders on data, metrics & analytics initiatives
  • Lead end-to-end development of reports/dashboards/tools
  • Perform data exploration and analytical deep dives
  • Bridge business and tech, scaling access to insights
  • Drive direction and execution of work
  • Balance engineering efforts, analytical deep dives, and building analytic products

Requirements For Senior Analytics Engineer (L5)

Python
  • 5+ years of experience in leveraging technical skills in manipulating large data sets
  • Experience with complex SQL and Python (or similar languages)
  • Experience with big data technologies (e.g., Hadoop, Spark)
  • Experience with visualization tools (e.g., Tableau)
  • Exceptional communication and collaboration skills
  • Strong business acumen
  • Comfortable with ambiguity
  • Ability to take ownership and thrive with minimal oversight
  • Experience in managing stakeholder relationships

Benefits For Senior Analytics Engineer (L5)

Medical Insurance
Mental Health Assistance
401k
Equity
Parental Leave
  • Health Plans
  • Mental Health support
  • 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
  • 35 days annually for paid time off (for full-time hourly employees)
  • Flexible time off (for full-time salaried employees)

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