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Facebook Global Operations Data Analyst Ireland, Dublin 122641665
Yesterday
The mission of Global Operations (GO) at Meta is 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 of people, communities, businesses, and partners.
Global Operations Data Analyst 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)
Minimum Qualifications
- 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
- 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
- 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
- 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
Preferred Qualifications
- 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
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