Analytics Engineer 5 - Content & Studio
About The Position
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 understandings and decisions.
Requirements
- 5+ years of experience with an advanced degree in a quantitative field (e.g., Engineering, Mathematics, CS) or 8+ years of relevant professional experience.
- Expert in SQL and possess deep experience with Python for data manipulation and automation.
- Strong ability to translate ambiguous business requests into concrete data products.
- Strong bias to action, favoring iteration and rapid results over perfect but delayed solutions.
- Exceptional communication with technical and non-technical audiences; can effectively influence senior stakeholders and explain complex technical concepts with clarity.
- Proactively learning and adopting AI capabilities to supercharge workflow.
Responsibilities
- Design, build, and maintain scalable data models that serve as the source of truth for the Consumer Product team.
- Partner with Business Stakeholders, Product Engineering, and Data Scientists/Data Engineers to understand data needs and translate complex business requirements into technical data solutions.
- Transform complex quantitative analysis into high-impact dashboards and custom data tools (e.g., Plotly Dash) that drive business decisions.
- Deliver scalable data solutions by merging advanced SQL and Python proficiency with data engineering workflows, ensuring reliability through engineering best practices like CI/CD, testing, version control and monitoring.
- Proactively bring data-driven perspectives to the table that challenge assumptions, uncover growth opportunities, and shape the future direction of Netflix Consumer Products.
- Manage high-impact, long-term infrastructure projects while remaining agile enough to handle ad hoc data requests.
Benefits
- Health Plans
- Mental Health support
- 401(k) Retirement Plan with employer match
- Stock Option Program
- Disability Programs
- Health Savings and Flexible Spending Accounts
- Family-forming benefits
- Life and Serious Injury Benefits
- Paid leave of absence programs
- Flexible time off
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What This Job Offers
Job Type
Full-time
Career Level
Senior
