Netflix is one of the world's leading entertainment services, with over 300 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.

About the Team

The Open Connect Infrastructure Capacity Planning team plays a central role in ensuring that our members and internal customers consistently enjoy a seamless experience, achieved through the timely deployment and ongoing management of Netflix’s owned infrastructure capacity. Our team is dedicated to the development of long-range capacity forecasts that are forward-looking, adaptable to rapidly evolving product needs, and focused on efficiency. We collaborate closely with a diverse range of cross-functional stakeholders to understand their current and future infrastructure requirements and make strategic recommendations around product implementation and design. Some of our team’s core responsibilities include:

Development of Long-Range Infrastructure Capacity Strategies: Create forward-looking strategies that inform long-term financial planning, network design, and near-term deployment and implementation decisions.

Effective Infrastructure Allocation: Convert demand forecasts across multiple products into clear, actionable capacity plans and strategic recommendations to drive investment decisions. Balance infrastructure availability across product types. 

Data-Driven Analyses for Platform Optimization and Scalability: Conduct ongoing, data-driven analyses focused on optimizing efficiency, spend, and architectural direction while ensuring long-term platform scalability and resiliency.

Risk Assessment & Management: Identification of potential risks related to capacity shortages or excesses and development of mitigation strategies.

Infrastructure Performance Monitoring: Continuous tracking of infrastructure performance and utilization to identify bottlenecks or inefficiencies.

About the Role

We are seeking a detail-oriented Analytics Engineer to join our team. In this role, you will be responsible for collecting, analyzing, and interpreting large data sets that will be used to inform strategic capacity decisions. You will own the capacity modeling across multiple product areas, ensuring each model's accuracy and effectiveness. Beyond functional model development, you will be expected to gain a deep understanding of each product area, enabling you to provide informed recommendations for modeling improvements and optimizations.

This role requires strong analytical skills, attention to detail, and the ability to build strong cross-functional relationships.

Core Responsibilities

Partner with Planners across capacity planning to understand their processes, workflow, and pain points.

Design, build, and maintain analytical models for capacity forecasting, risk analysis, and other ad-hoc business needs.

Validate that models align with organizational planning and strategic objectives, ensuring they effectively support Planners in their decision-making processes.

Take ownership of the continuous development, enhancement, and ongoing relevance of models to maintain their usefulness and adaptability to evolving business needs.

Deliver increased automation and tooling capability across capacity planning. Validate and back-test models to ensure accuracy and robustness.

Collaborate with internal stakeholders to gather and understand modeling requirements. 

Present modeling recommendations to technical and non-technical audiences.

About You

You have a product mindset and are curious to understand the business's needs. You have a naturally collaborative style to work with product management, data science, engineering, etc, in service of these needs.

You possess strong data intuition and know how to apply your statistical and analytical skills to support building high-quality models.

You see patterns and new ways to innovate in existing spaces. As a result, you always look for opportunities to simplify and build modeling solutions that work across multiple use cases.

You have experience in infrastructure operations and technical infrastructure (a plus but not a requirement)

You are unafraid to take smart risks.

You have a proven track record of data analysis, reporting, and visualization (e.g., Tableau)

You drive the direction and execution of your work, which spans from developing scrappy analysis and tools to designing scalable systems

You have a Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field

You are proficient in SQL and Python scripting

 You have 3-5 years of experience as an Analyst Engineer or in a similar role

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, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Our culture is unique, and we live by our values, so it’s worth learning more about Netflix culture.

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.

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 details about our Benefits here.

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.