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Home›Jobs›Netflix›Analytics Engineer (L6) - Enterprise Data
Netflix

About Netflix

The streaming service redefining entertainment worldwide

🏢 Tech, Media👥 10K-50K📅 Founded 1997📍 Los Gatos, California, United States

Key Highlights

  • Over 238 million subscribers across 190 countries
  • Headquartered in Los Gatos, California
  • Valued at over $150 billion
  • Offers a vast library of original content and films

Netflix, headquartered in Los Gatos, California, is a leading streaming service with over 238 million subscribers globally. The platform offers a vast library of movies, TV shows, and original content, including award-winning series like 'Stranger Things' and 'The Crown.' With a market valuation exc...

🎁 Benefits

Employees enjoy competitive salaries, stock options, unlimited PTO, and comprehensive health benefits. Netflix also offers a flexible remote work poli...

🌟 Culture

Netflix fosters a culture of freedom and responsibility, encouraging employees to take risks and make decisions independently. The company values tran...

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Netflix

Analytics Engineer (L6) - Enterprise Data

Netflix • Warsaw,Poland

Posted 1 month agoLeadAnalytics engineer📍 Warsaw
Apply Now →

Overview

Netflix is seeking a Lead Analytics Engineer to drive the analytics strategy for Data Health. You'll work on defining measurement frameworks and ensuring high-quality data foundations. This role requires strong analytical and engineering skills.

Job Description

Who you are

You have a strong background in analytics and engineering, with experience in defining measurement frameworks that ensure data quality and integrity. You understand what constitutes 'healthy data' and can translate abstract concepts into actionable metrics. Your ability to partner with cross-functional teams, including Engineering Leaders and Product Managers, allows you to drive analytics strategies effectively. You are a thought leader in the field, capable of conceptualizing complex data health initiatives and implementing them across diverse domains.

You possess excellent communication skills, enabling you to articulate your vision for data health to both technical and non-technical stakeholders. Your experience in data science and engineering equips you with the technical skills necessary to access and model data, ensuring that you can lead initiatives that enhance data excellence within the organization. You are committed to fostering a culture of diversity and inclusion, recognizing that diverse teams lead to stronger outcomes.

Desirable

Experience with data governance and compliance frameworks is a plus, as is familiarity with data engineering tools and practices. A background in data analytics or data science will further enhance your ability to succeed in this role.

What you'll do

As a Lead Analytics Engineer at Netflix, you will be responsible for leading the analytics strategy for Data Health. This involves defining what 'healthy data' looks like and establishing comprehensive visibility into the state of data across the organization. You will work closely with various teams to ensure that data quality is maintained and that the data ecosystem remains robust and scalable as the business grows. Your role will require you to conceptualize and implement measurement frameworks that translate abstract concepts like trust, availability, and compliance into concrete metrics that can be tracked and improved.

You will collaborate with Engineering Leaders and Product Managers to drive initiatives that enhance data quality and accessibility. Your leadership will be crucial in establishing partnerships that leverage data expertise across the organization. You will also be involved in driving a major initiative to deepen data excellence, ensuring that the data foundations support next-generation tools and internal productivity products.

What we offer

At Netflix, you will be part of a team that values innovation and excellence in data management. We offer a collaborative work environment where your contributions will have a significant impact on the organization. You will have the opportunity to work on cutting-edge data initiatives that shape the future of our data ecosystem. We encourage you to apply even if your experience doesn't match every requirement, as we believe in the potential of diverse backgrounds and perspectives to drive success.

Interested in this role?

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