Senior Analytics Engineer (L5)

$170,000 - $720,000/Yr

Netflix

Full-time - Senior

Remote

10,001+ employees

Broadcasting and Content Providers

About the position

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.

Responsibilities

• 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

Requirements

• 5+ years of experience in leveraging technical skills in manipulating large data sets with complex SQL and Python (or similar languages)
• Experience with big data technologies (e.g., Hadoop, Spark)
• Proficiency in 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
• Experienced in managing stakeholder asks, expectations, and relationships across a variety of stakeholders

Benefits

• Health Plans
• Mental Health support
• 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• Paid leave of absence programs
• 35 days annually for paid time off for full-time hourly employees
• Flexible time off for full-time salaried employees