Global Operations (GO) at Meta aims to build and run world-class processes at a global scale that minimize harm to people and society, and maximize the success and well-being of Meta's ecosystem. The Global Operations Quality team measures how effectively Meta is creating safe and open environments for users and positive experiences for businesses across its apps. The role of the Data Analyst is to support operational efficiency and strategic decision-making through data-driven insights.
Requirements
- Advanced proficiency in querying and manipulating complex raw datasets for analysis using SQL
- Familiarity with statistical analysis and concepts
- 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
- Advanced degree with a quantitative focus (Economics, Computer Science, Operations Research, Math, Statistics, Analytics)
- 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
- Partner with operations teams, data science, data engineering, and product teams to understand business needs and define analytical approaches to solve complex problems
- 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)
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 working collaboratively, cross functionally, autonomously, and in a fluid business environment
- Meta participates in the E-Verify program in certain locations, as required by law
- Meta is an Equal Employment Opportunity and Affirmative Action employer
- Meta is committed to providing reasonable accommodations for candidates with disabilities in its recruiting process
