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Meta · 1 day ago

Global Operations Analytics Engineer

Newton County, GA

Full-time

Hybrid

Senior Level

$151K/yr - $213K/yr

7+ years exp

Meta is seeking a Global Operations Analytics Engineer to join our Data Center Site Operations team. This role leads the development of analytics data sets and use cases to support the effective use of Meta’s global server fleet, leveraging data to drive decisions that enhance operational efficiency.

Computer Software

Comp. & Benefits

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

Acts 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

Qualification

SQLAI/ML frameworksData visualizationData analysisPythonRStatisticsLeadershipTeam managementCommunication

Required

Degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Data Science, Management Science or commensurate experience)

7+ years of experience in analytics, engineering, use of AI and/or workflow automation for business improvement

7+ years of SQL development experience writing queries, R or Python

Hands-on experience with AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn) and automation tools/platforms

Significant experience with data visualization tools and leveraging data driven models to drive business decisions

Experience with statistics (e.g. statistics basics, statistical modeling, experimental design, hypothesis testing, etc.)

Demonstrated experience with proactively identifying, scoping and implementing solutions

Hands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders

Travel up to 30-49% required