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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