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Meta's Global Operations (GO) team needs Data Analysts to support operational efficiency and strategic decision-making for global teams, optimizing processes, improving performance, and driving business outcomes through data-driven insights.

Requirements

• Advanced proficiency in querying and manipulating complex raw datasets for analysis using SQL
• Extensive professional experience with data visualization tools (e.g., Tableau - designing, building, productionising dashboards)
• Professional experience building and deploying data pipelines
• Familiarity with statistical analysis and concepts
• Experience leveraging AI to drive operational efficiencies
• Familiarity with data science and machine learning concepts and an understanding of how to apply these methods to solve real-world business problems

Responsibilities

• Design and execute data analyses to uncover insights that drive operational improvements and strategy decisions, under your own initiative
• Create dashboards, automated reports, and self-service tools using BI platforms (e.g. Tableau) which deepen our understanding of the business and enable efficiencies for our operations teams
• Build and maintain data pipelines and associated documentation
• Communicate results of analyses to technical and non-technical stakeholders in a way that influences business outcomes (e.g. roadmap decisions, opportunity areas etc)
• Partner with operations teams, data science, data engineering, and product teams to understand business needs and define analytical approaches to solve complex problems

Other

• Minimum 5+ years professional experience working in an Operations, Analytics, Product, Engineering or equivalent team, preferably in a technology company, consulting firm, or similar fast-paced environment
• Demonstrated experience of managing analytics projects end to end from concept design through to business adoption, autonomously
• Business acumen is a must. You will be required to partner with business stakeholders to proactively define analytics strategy, drive execution, and communicate data insights clearly
• Demonstrated experience working collaboratively, cross functionally, autonomously, and in a fluid business environment
• B.A. or B.S. degree with a quantitative focus in Computer Science, Information Systems, Math, Statistics, Operations Research, Business Analytics, Data Science or equivalent training