Senior Analytics Engineer (L5) - Product, Games

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 Games DSE team, leading end-to-end analytics & data needs for the Games Product and Platform space. This role will be a thought partner to Product Managers and stakeholders from Game Product, Platform and Engineering in driving our product strategy to improve discovery and engagement with games, adoption of game features such as Messaging, Social etc, as well as inform the user acquisition strategy. As an early member of the team, you will also help shape our overall Games Product Data Strategy at Netflix.   

What You Will Do:

•  Partner directly with our Game stakeholders (e.g., Games Product & Platform team) on data, metrics & analytics initiatives

• Work with our Data Engineering partners, and other Data Scientists on the team to make sure we have great data to support the games and products we are building

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

• Proactively perform data exploration and analytical deep dives to discover insights or future opportunities

• Be a bridge between the business and tech, scaling access to insights that can empower better decision-making

• Drive the direction and execution of your work, which span from developing scrappy analytic tools to designing scalable analytic systems

• Balance handling engineering efforts, analytical deep dives and building analytic products

Who You Are:

• 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 (e.g., Tableau)

• A strong product thinker with good product sense: you know how to get at what our partners need and how to develop solutions to satisfy those needs

• Exceptional communication and collaboration skills coupled with strong business acumen

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

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

• Experienced at telling stories with data and communicating to stakeholders at all levels of the business

• Netflix culture resonates with you

At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of the market. We rely on market indicators to determine compensation and consider your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. 

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 $100,000 - $720,000.

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.