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About the role

Data Analyst, Global Operations at Meta

Required Skills

sqlpythontableauai/mldata pipelinesstatistical analysisautomationdashboards

About the Role

Data Analyst role at Meta focusing on AI-first analytics to drive strategic decisions and operational efficiency globally. Responsibilities include building data pipelines, dashboards, and promoting AI tool adoption across teams.

Key Responsibilities

  • Partner with operations, data science, engineering, and product teams to address business challenges through AI-first strategies
  • Build, maintain, and optimize scalable data pipelines, dashboards, and automated reports
  • Champion adoption of AI tooling within analytics workflows and uplift team proficiency
  • Communicate complex insights to stakeholders to influence decisions and outcomes
  • Explore emerging technologies and automation methods to advance analytics offerings

Required Skills & Qualifications

Must Have:

  • 7+ years of experience in analytics, operations, product, engineering, or related fields
  • Bachelor's degree in a quantitative discipline or equivalent practical experience
  • Advanced proficiency in SQL and experience with Python for data analysis and automation
  • Proven experience building scalable data pipelines and dashboards using BI tools like Tableau

Nice to Have:

  • Master's degree or higher in a quantitative discipline such as Data Science or Computer Science
  • Hands-on experience with AI/ML model development, deployment, and/or integration

Benefits & Perks

  • bonus
  • equity
  • benefits