Senior Analytics Engineer (L5)

Salary

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.

Location

Remote

Now is an amazing time to join Netflix as we seek to entertain the world. We have over 260 million paid members in over 190 countries, and we won’t stop there. Games are our next big frontier and an incredible opportunity for us to deliver new experiences to delight and entertain our quickly growing membership. You will be jumping in at the early stages of this adventure and be in a position to help us redefine what a Netflix subscription means for our members around the world.

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 Platform and Health space. This role will be a thought partner to stakeholders from Game Platform, Product and Engineering in driving our strategy on game & portfolio health,for Mobile and Cloud games. As an early member of the team, you will also help shape our overall Games Data Strategy at Netflix.

What You Will Do:

Partner directly with our Game stakeholders (e.g., Games Platform, Product, Games Operations team) on data, metrics & analytics initiatives
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)
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
Netflix culture resonates with you

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