Analytics Engineer (L5) - New Content Experiences

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

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!).

The Role: Analytics Engineer

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

Who You Are:

We believe that what makes a fantastic workplace isn’t a great office or free meals and massages — although we have some nice perks. It’s the people. 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

• Comfortable with ambiguity; able to take ownership, and thrive with minimal oversight and process

• You are experienced in managing stakeholders' asks, expectations, and relationships across a variety of stakeholders

• 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 $170,000 - $720,000.

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.