
Analytics Engineer 5 – Infrastructure Efficiency, Productivity
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in United States.
• Establish and take ownership of essential metrics regarding infrastructure costs, usage, and efficiency across computing, storage, streaming, and machine learning platforms.
• Innovate techniques to assess the productivity impact of AI tools and autonomous agents.
• Enhance the speed and quality of efficiency assessments by transforming slow, manual analyses into trusted and reusable insights.
• Identify and quantify efficiency opportunities, translating cost and usage trends into actionable savings recommendations.
• Create dashboards, reports, and data narratives tailored for engineers and senior executives.
• Collaborate with Visualization Engineers to develop dashboards and reporting interfaces.
• Work alongside Data Engineers to enhance upstream data pipelines.
• Partner with Data Scientists on forecasting and reliability initiatives.
• Formulate metric frameworks, targets, datasets, business logic, pipelines, analyses, and recommendations to guide Netflix's infrastructure investment decisions.
• Proven experience in metric research and development within a technical field.
• Capability to construct metric frameworks at various granularities that cohesively establish reliable targets.
• Ability to independently explore data, perform cleaning, engage in light pipeline construction, develop business logic, and create dashboards.
• Proficient in Python and SQL programming languages.
• Competence in effectively working with complex, evolving data and evaluating data quality.
• Outstanding communication skills for both technical and non-technical audiences.
• Experience in storytelling with data to influence decisions across all business levels.
• Strong product insight and product thinking capabilities.
• Comfort with ambiguity and minimal supervision or established processes.
• Considerate application of AI, coding agents, and analytics agents, including the evaluation of their outputs.
• Experience in measuring cost, efficiency, or system performance in cloud or streaming environments is advantageous, or a strong desire to gain deep expertise in this area.
• 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 utilized for vacation, holidays, and sick leave.
• Full-time salaried employees are granted immediate access to flexible time off.
• Accommodation and adjustment support are provided throughout the hiring process.
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