Senior Analytics Engineer (L5) - In-Game Analytics

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 space. This role will be partnering closely with our stakeholders from Game Studios and Verticals to do advanced analytics and define key metrics, to support the development and performance of our games portfolio. 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., Netflix Games Studio, Games Product, Game Strategy, Planning & Analysis 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

• Responsible for analyzing and interpreting large datasets to provide valuable insights and recommendations to enhance game performance , member experience and identify opportunities to improve gameplay and engagement

• Collaborate with cross-functional teams, including game designers, product managers, and engineers, to define and prioritize data-driven objectives and strategies

• Collaborate with the data engineering team to ensure data quality, integrity, and availability for analysis

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

Who You Are:

• 6+ years of experience in data analytics function in gaming industry and extensive experience in driving Live Service performance insights

• 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

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.

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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