出海雷达

分析工程师5 - 新内容体验DSE

Analytics Engineer 5 - New Content Experiences DSE

开发工程市场运营限定地区(需当地身份)与中国几乎无重叠,需长期倒时差
公司Netflix
薪资$330,000 - $566,000/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求与中国几乎无重叠,需长期倒时差
用工类型permanent
发布时间17 天前
数据来源4dayweek.io
前往 4dayweek.io 查看并投递 →
注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:与中国几乎无重叠,需长期倒时差。

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、全球粉丝和不可思议的现实的边界。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的令人不安的兴奋感。加入我们,成为未来的一部分。

Netflix的数据科学与工程(‘DSE’)旨在利用数据、分析和科学来改善我们业务的各个方面。我们正在寻找一位高级分析工程师加入我们的新内容体验DSE团队。

新内容体验团队专注于为我们的产品引入新的内容类型和创新体验。我们与产品、设计、算法、内容和工程团队紧密合作,挖掘机会,影响产品战略,并评估不同举措的成功情况。最近推出的例子是我们推出的直播内容(包括WWE和NFL圣诞比赛等精彩内容)!

作为数据科学家和分析工程师团队的一员,你将负责该领域的端到端产品分析,这是成功构建新内容体验生态系统的关键。

此职位将与我们的产品和技术利益相关者密切合作,进行高级分析,以指导产品、设计和工程策略,支持我们新内容体验组合的开发和表现。作为团队的早期成员,你还将帮助塑造我们的整体数据战略、监控和决策框架。

在此职位中,你将:

- 直接与我们的利益相关者(例如数据科学家、产品经理、设计师、工程师)合作开展数据、指标和分析项目

- 领导为你的直接利益相关者以及公司内多样化团队使用的分析和工具的端到端开发

- 负责分析和解读数据,提供有价值的见解和建议,以提升会员体验并提高产品性能

- 与数据工程和数据科学团队合作,确保数据分析所需的数据质量、完整性和可用性

- 主导工作的方向和执行,从开发敏捷的分析和工具到设计可扩展的系统

我们寻找:

- 优秀的沟通和协作能力,同时具备强大的商业好奇心和洞察力

- 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 Science and Engineering (‘DSE’) at Netflix is aimed at using data, analytics, and sciences to improve various aspects of our business. We are looking for a Senior Analytics Engineer to join our New Content Experiences DSE team.

The New Content Experiences team focuses on introducing new content types and innovative experiences to our product. We partner closely with Product, Design, Algorithms, Content, and Engineering to surface opportunities, influence the product strategy, and evaluate the success of different initiatives. The most recently launched example of a New Content Experience is our Live offering (including WWE and the NFL Christmas games among other great hits!).

As part of a team of Data Scientists and Analytics Engineers, you will lead end-to-end product analytics for the space, which is key to a successful New Content Experiences ecosystem.

This role will partner closely with our stakeholders from Product and Technology to do advanced analytics that will inform the product, design, and engineering strategies to support the development and performance of our New Content Experiences portfolio. As an early member of the team, you will also help shape our overall Data Strategy, monitoring, and decision frameworks.

In this role, you will:

- Partner directly with our stakeholders (e.g., Data Scientists, Product Managers, Designers, Engineers) on data, metrics & analytics initiatives

- Lead end-to-end development of analysis and tools used by your direct stakeholders and a diverse set of teams across the company

- Responsible for analyzing and interpreting data to provide valuable insights and recommendations to enhance the member experience and improve product performance

- Collaborate with the data engineering and data science teams to ensure data quality, integrity, and availability for analysis

- Drive the direction and execution of your work, which spans from developing scrappy analysis and tools to designing scalable systems

We are looking for:

- Exceptional communication and collaboration skills coupled with strong business curiosity and acumen

- 5+ years of industry experience in a data analytics or data science function

- 5+ years of experience in leveraging technical skills in manipulating large data sets with complex SQL and Python (or similar languages), big data technologies (e.g., Hadoop, Spark), and visualization tools

- Comfort with ambiguity; able to take ownership, and thrive with minimal oversight and process

- Experience managing stakeholders' asks, expectations, and relationships across a variety of stakeholders

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.

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