790315651282 Analytics Engineer L5 Localization Amsterdam Netherlands

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Localization Data Science and Engineering team is at the forefront of removing language barriers and providing a stellar 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 Content Promotion & Distribution 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 analytics tools and systems to create more member value via localization expansion and quality improvements. You will partner with a talented cross-functional team of engineers, scientists, product managers, and domain experts to shape localization strategy and deliver 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 instrumentation and telemetry frameworks for algorithms to defining key metrics to leveraging insights to drive strategy

Partner closely with other engineers, data 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

## 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 modular design and experience coordinating with engineering and data engineering teams

5 or more years of relevant experience with building data products powered by big data

Exceptional communication and collaboration skills coupled with strong business acumen

Comfortable navigating ambiguity; able to take ownership and make informed decisions with a high degree of autonomy

* Netflix culture resonates with you

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.