Analytics Engineer 5 – Infrastructure Efficiency, Productivity

🕒 August 11

🇺🇸 United States – Remote

💵 $330k - $566k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 0%

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Netflix

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1997

📱 Media

👥 B2C

Media • B2C

Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.

📋 Description

• Define and own core metrics for infrastructure cost, usage, and efficiency across compute, storage, streaming, and machine learning platforms • Pioneer methods to measure the productivity impact of AI tooling and autonomous agents • Increase the speed and quality of efficiency analysis by turning slow, manual analysis into trusted, reusable insight • Identify and size efficiency opportunities and translate cost and usage patterns into savings recommendations • Build dashboards, reports, and data narratives for engineers and senior executives • Partner with Visualization Engineers on dashboards and reporting surfaces • Partner with Data Engineers on upstream data pipelines • Partner with Data Scientists on forecasting and reliability work • Develop metric frameworks, targets, datasets, business logic, pipelines, analyses, and recommendations for Netflix infrastructure investment decisions

🎯 Requirements

• Experience in metric research and development in a technical domain • Ability to build metric frameworks at multiple granularities that form a coherent whole and establish trusted targets • Self-sufficiency across data exploration, cleaning, light pipeline building, business logic, and dashboards • Fluency in Python and SQL • Ability to work effectively with messy, changing data and assess data quality • Exceptional communication with technical and non-technical audiences • Experience telling stories with data and influencing decisions at all business levels • Strong product thinking and product sense • Comfort with ambiguity and minimal oversight/process • Thoughtful use of AI, coding agents, and analytics agents, including evaluating their output • Experience measuring cost, efficiency, or system performance in a cloud or streaming context is a plus, or motivation to develop deep expertise in that domain

🏖️ Benefits

• Annual compensation may be allocated between salary and stock options • 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 • 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 • Accommodation/adjustment support during the hiring process