Now is an amazing time to join Netflix as we seek to entertain the world. We have over 200 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 space. This role will be partnering closely with our Game stakeholders to define key metrics, build and maintain key dashboards and analytic tools and scale data access across our stakeholder set. 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
- Proactively perform data exploration and analytical deep dives to discover insights or future testing opportunities
- Be a bridge between the business and tech, scaling access to insights that can empower better decision-making
- Maintain and rethink existing data solutions to service a wider variety of use cases
- Balance handling ad hoc requests while also driving larger projects forward
Who You Are:
- 6+ years of experience in data analytics function in gaming industry
- Extensive experience in driving Live Service performance insights
- You are an engineering-minded analyst with a strong bias towards action, delivering results quickly with iteration instead of waiting for perfection
- You are comfortable taking vague requirements and crystallizing them into valuable tools, metrics, or analysis.
- You have strong 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)
- You are a self-starter that can work effectively in a fast-paced, ambiguous environment with changing priorities and minimally defined processes.
- You are experienced in managing stakeholder asks, expectations, and relationships across a variety of stakeholders
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.
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 detail about our Benefits
here.
Netflix is a unique culture and environment. Learn more
here.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.
