Analytics Engineer - Globalization

Job Description

Analytics Engineer (L5) - Globalization

At Netflix, our mission is to entertain the world by connecting our members to an extensive library of stories from all over the globe. We are revolutionizing international storytelling as we deliver billions of hours of movies and TV shows per month to 200+ million members across 190+ countries in 30+ languages.

The Globalization Data Science and Engineering team is at the forefront of removing language barriers and providing a stellar member experience to all our members regardless of their language preferences. We are responsible for the translation and cultural adaptation of all aspects of member interaction, including beautiful localized user interfaces, subtitles, and dubbing of award-winning Netflix originals.

EMEA is a significant center for our broader Studio and Creative Production teams. We are looking for an experienced Analytics Engineer based in our Amsterdam office to join our growing EMEA team. In this role, you will design and develop analytic tools and systems to create more member value via localization expansion and optimization. You will partner with a talented cross-functional team of engineers, scientists, product managers and domain experts to shape localization strategy and deliver business impact.

Responsibilities
• Act as strategic partner for stakeholders and cross-functional collaborators to identify business opportunities and enhance business strategies with automated data solutions
• Drive the direction and execution of your work, which span from developing scrappy analytic tools to designing scalable analytic systems
• Partner closely with other engineers and scientists to improve foundational data models and accelerate productization of data insights
• Share your innovation and collaborate with the broader community to strengthen analytics enablement
• Become a regional expert on Globalization Data Science and Engineering, helping educate and connect with regional offices

About you
• Proven track record of designing and developing scalable analytic tools and systems
• High proficiency in standard tech stack (e.g., Python, SQL, Spark) and common data visualization tools (e.g., Streamlit, Tableau)
• Familiar with fundamentals of Machine Learning and Statistical Inference as well as data engineering best practices
• 5+ years of relevant experiences with building data products powered by big data
• Exceptional communication and collaboration skills coupled with strong business acumen
• Comfortable with ambiguity; able to take ownership, and thrive with minimal oversight and process
• Netflix culture resonates with you

Netflix culture

Netflix's culture is an integral part of what makes us successful, and we approach diversity and inclusion seriously and thoughtfully. We are an equal opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, ethnicity, religion, color, place of birth, sex, gender identity or expression, sexual orientation, age, marital status, military service status, or disability status.

Jobcode: Reference SBJ-rzbok1-3-142-198-129-42 in your application.