分析工程师 5 - 内容与工作室
Analytics Engineer 5 - Content & Studio
在Netflix，我们的使命是娱乐全世界。我们正在书写下一章——突破叙事、全球粉丝的边界，让不可思议成为现实。我们是一支梦想团队，痴迷于探索创意、直觉和尖端技术融合时会发生什么。加入我们，成为未来的一部分。
Netflix的数据与洞察部门致力于利用数据、分析、因果推断、机器学习（ML）和科学来改善我们业务的各个方面。在对话数据与洞察部门，我们专注于提供数据产品和洞察，支持我们的市场业务合作伙伴在复杂而细致的决策过程中。我们是一个高度协作的团队，与Netflix各团队合作以推动影响力。我们正在寻找一位高级分析工程师，负责设计和实现稳健的数据架构和分析工具。该职位将与市场部密切合作，特别是消费者产品（CP）相关方以及数据工程师、研究人员和数据科学家，将原始数据转化为高质量、高性能的数据模型和洞察，从而驱动关键的商业理解和决策。
你将负责：
- 数据基础：设计、构建和维护可扩展的数据模型，作为消费者产品团队的权威数据源。
- 跨职能合作：与业务相关方、产品工程和数据科学家/数据工程师合作，理解数据需求，并将复杂的业务要求转化为技术数据解决方案。
- 分析严谨性和可视化叙事：能够将复杂的定量分析转化为高影响力的仪表盘和定制数据工具（如Plotly Dash），以驱动业务决策。
- 工程卓越：通过结合高级SQL和Python技能与数据工程流程，交付可扩展的数据解决方案，通过CI/CD、测试、版本控制和监控等工程最佳实践确保可靠性。
- 商业战略：主动提出数据驱动的视角，挑战假设，发现增长机会，并塑造Netflix消费者产品的未来方向。
- 运营平衡：管理高影响、长期的基础设施项目，同时保持敏捷性以处理临时的数据请求。
你具备：
- 在量化领域（如工程、数学、统计学、计算机科学等）拥有高级学位，并有5年以上相关经验。
查看英文原文
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.
What You Will Do:
- 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.
- Analytical Rigor and Visual Storytelling: Able to transform complex quantitative analysis into high-impact dashboards and custom data tools (e.g., Plotly Dash) that drive business decisions.
- Engineering Excellence: 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.
- Business Strategy: Proactively bring data-driven perspectives to the table that challenge assumptions, uncover growth opportunities, and shape the future direction of Netflix Consumer Products.
- Operational Balance: Manage high-impact, long-term infrastructure projects while remaining agile enough to handle ad hoc data requests.
Who You Are:
- 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.
Generally, 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 $330,000.00 - $566,000.00. This compensation range will vary based on location.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits [here](https://jobs.netflix.com/work-life-philosophy).
Netflix is a unique culture and environment. Learn more [here](https://jobs.netflix.com/culture).
[Inclusion](https://about.netflix.com/en/inclusion) is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled.