Global Operations Analytics Engineer

Global Operations Analytics Engineer Summary

Meta is seeking a Global Operations Analytics Engineer to join our Data Center Site Operations team. The role leads the development of analytics data sets and use cases to support and enable the effective and efficient use of Meta's global server fleet. Leveraging data and insights, the engineer drives decisions that enable predictability, consistency, and proactive actions, allowing us to operate efficiently and reliably at scale.

Base pay range

$150,000 / yr – $213,000 / yr

Global Operations Analytics Engineer Responsibilities

• Translate business challenges into clear, actionable requirements for AI-enabled solutions
• Map end-to-end business processes, highlighting areas where AI can drive efficiency and value
• Design, build, and implement AI-driven automation solutions to uncover operational data insights that drive decision making
• Develop and deploy solutions and AI prompts to identify and address operational bottlenecks, replacing manual interventions with intelligent automation
• Create scalable automation mechanisms that proactively monitor, analyze, and report on operations
• Build robust predictive models using statistical and machine learning techniques to forecast risks, anticipate issues and optimize operations
• Surface actionable insights that enable data-driven, proactive decision-making in global operations
• Develop monitoring tools to trigger early warnings and facilitate rapid resolution through automation
• Act as a data subject matter go-to on operation of servers in a hyper-scale data center environment
• Formulate the right metrics, measures, and definitions of success to drive quality, efficiency, cost and timeliness, understanding the source data
• Perform complex data analysis leveraging data streams available to drive proactive and predictive action
• Partner with operational analysts and data science to understand pain points, identify repetitive tasks and translate them into opportunities for automation
• Bring multiple areas of business and engineering together via a common reliable foundation of common data, metrics, and insights to enhance operational performance of Meta's infrastructure
• Provide data-supplied narratives that are connected to the business, determining what is important and what next steps should be taken
• Build data tables and dashboards, and leverage these for interpreting incidents and trends
• Lead and support various ad hoc projects, as needed, in support of Meta's data center strategy
• Leverage tools like R, Tableau, Python, and SQL to drive efficient analytics
• Travel up to 30-49% required

Minimum Qualifications

Preferred Qualifications

Seniority level

Not Applicable

Employment type

Full-time

Job function

Information Technology

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