Capacity Planner; L4

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.

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.

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.

• 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.

• 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…