Global Localization Analytics Engineer

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.

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