Senior Analytics Engineer (L5) - In-Game Analytics

World's leading entertainment service with 283 million paid memberships in over 190 countries, offering TV series, films and games.
United States
$100,000 - $720,000
Data
Senior Software Engineer
Remote
5,000+ Employees
6+ years of experience
Gaming · Entertainment

Description For Senior Analytics Engineer (L5) - In-Game Analytics

Netflix, the world's leading entertainment service with 283 million paid memberships across 190+ countries, is seeking a Senior Analytics Engineer to join their Games Data Science and Engineering (DSE) team. This role presents an exciting opportunity to shape the future of Netflix's Games Data Strategy.

As a Senior Analytics Engineer focusing on In-Game Analytics, you'll be at the forefront of improving Netflix's gaming portfolio through data-driven insights. You'll work directly with Game Studios and Verticals, leading end-to-end analytics and data initiatives that directly impact game performance and member experience.

The role combines technical expertise with strategic thinking, requiring proficiency in Python, SQL, and big data technologies. You'll be responsible for developing analytics tools, interpreting large datasets, and collaborating with cross-functional teams to enhance gameplay and engagement.

This position offers a unique opportunity to work remotely while contributing to Netflix's growing games division. The compensation is highly competitive, ranging from $100,000 to $720,000, with flexibility to choose between salary and stock options annually.

The ideal candidate brings 6+ years of gaming industry analytics experience, strong technical skills, and exceptional communication abilities. You'll thrive in Netflix's culture of freedom and responsibility, working with minimal oversight while driving significant impact in the gaming space.

Join Netflix to help shape the future of gaming entertainment through data-driven decisions and analytics excellence.

Last updated 3 days ago

Responsibilities For Senior Analytics Engineer (L5) - In-Game Analytics

  • Partner directly with Game stakeholders on data, metrics & analytics initiatives
  • Lead end-to-end development of reports/dashboards/tools
  • Analyze and interpret large datasets to provide insights and recommendations
  • Collaborate with cross-functional teams to define data-driven objectives
  • Collaborate with data engineering team to ensure data quality and integrity
  • Drive the direction and execution of analytic tools and systems

Requirements For Senior Analytics Engineer (L5) - In-Game Analytics

Python
  • 6+ years of experience in data analytics function in gaming industry
  • Experience in driving Live Service performance insights
  • 5+ years experience with SQL and Python
  • Experience with big data technologies (Hadoop, Spark)
  • Experience with visualization tools (Tableau)
  • Exceptional communication and collaboration skills
  • Strong business acumen
  • Comfortable with ambiguity and minimal oversight
  • Experience in managing stakeholder relationships

Interested in this job?

Jobs Related To Netflix Senior Analytics Engineer (L5) - In-Game Analytics

Senior Analytics Engineer (L5) - Product, Games

Senior Analytics Engineer position at Netflix, leading data analytics for Games Product and Platform, offering competitive compensation and remote work.

Senior Analytics Engineer

Senior Analytics Engineer position at Netflix's gaming studio, focusing on data analytics and insights for game development with competitive compensation and benefits.

Analytics Engineer (L5) - Regional Understanding

Senior Analytics Engineer role at Netflix, focusing on regional understanding and data-driven insights to shape global strategy.

Data Engineer (L5) - Growth Insights and Foundations

Netflix is hiring a Senior Data Engineer to build low-latency data products and distributed systems for enhancing user experiences across their platform.

Senior Business Intelligence Engineer II, AWS Sustainability Technology

Senior BI Engineer role at AWS focusing on sustainability technology, developing analytics tools for renewable energy and environmental initiatives.