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About the role
Data Foundations: Design, build, and maintain scalable data models that serve as the source of truth for the Consumer Product team. Cross-Functional Partnership: Partner with Business Stakeholders, Product Engineering, and Data Scientists/Data Engineers to understand data needs and translate complex business requirements into technical data solutions. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- You have 5+ years of experience with an advanced degree in a quantitative field (e.g., Engineering, Mathematics, CS) or 8+ years of relevant professional experience
- You are an expert in SQL and possess deep experience with Python for data manipulation and automation
- You have a strong ability to translate ambiguous business requests into concrete data products
- You have a strong bias to action, favoring iteration and rapid results over perfect but delayed solutions
- You possess exceptional communication with technical and non-technical audiences, you can effectively influence senior stakeholders and explain complex technical concepts with clarity
- You are proactively learning and adopting AI capabilities to supercharge your workflow
More about this role
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
Data and Insights at Netflix is aimed at using data, analytics, causal inference, machine learning (ML), and sciences to improve various aspects of our business. In Conversation Data and Insights, we focus on delivering data products and insights that support our Marketing business partners in their complex and nuanced decision-making processes. We are a highly collaborative team that partners across Netflix to drive impact. We are looking for a Senior Analytics Engineer to lead the design and implementation of robust data architectures and analytical toolings. This role will partner closely with Marketing, especially CP (Consumer Product) stakeholders and Data Engineers, Researchers, Data Scientists to transform raw data into high-quality, performant data models and insights that drive critical business...
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