Analytics Engineer (L5) - Localization

Benefits

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Not verified last checked Jun 13, 2026

Salary

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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About this role

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

Read the full description at explore.jobs.netflix.net. FewerJobs shows a source-linked preview and links to the original posting.