Analytics Engineer 5 - Localization
The Localization 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. We are looking for an experienced Analytics Engineer to join our growing 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 Localization 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 Statistical Inference and Data Analysis as well as data and software engineering best practices 5+ years of relevant experiences with building data products and data visualizations at scale 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 Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.