Data Analyst, Global Operations

At Meta, we are experiencing an extraordinary wave of innovation in automation and intelligent tools that is transforming how we drive impact through data & analytics.

As a data analyst in global operations, you’ll have the opportunity to combine your analytical expertise with an AI-first mindset to design and deploy analytical solutions that drive strategic decision-making and operational efficiency at a global scale.

You will partner with operational, data science, data engineering, and product teams globally to optimize processes, automate workflows, provide data-driven insights, and uplift the team’s proficiency in leveraging new technologies.

Responsibilities
Partner with operations, data science, engineering, and product teams to address complex business challenges through AI-first analytical strategies and solutions
* Build, maintain, and optimize scalable data pipelines, dashboards, automated reports, and self-service tools for teams across Meta
* Champion the adoption and integration of AI tooling within analytics workflows, educating and uplifting team proficiency in modern solutions and innovative thinking
* Communicate complex insights clearly to technical and non-technical stakeholders, influencing decisions and business outcomes
* Continuously explore and experiment with emerging technologies and automation methods to advance the team’s analytics offerings

Qualifications
7+ years of experience in analytics, operations, product, engineering, or related fields—ideally within deadline-focused tech environments or consulting
* Bachelor’s degree in a quantitative discipline such as Computer Science, Data Science, Statistics, Mathematics, Operations Research, or equivalent practical experience
* Advanced proficiency in SQL, and experience with Python, for data analysis and automation
* Proven experience building and deploying scalable data pipelines and productionizing dashboards using BI tools (e.g., Tableau)
* Track record of proactively using AI tools to drive productivity and innovation across projects and teams (bonus for championing AI adoption and education within teams)
* Solid understanding of statistical analysis with practical application to real-world business problems
* Demonstrated ability to independently manage analytics projects end-to-end, from problem definition to business adoption and impact measurement Master’s degree or higher in a quantitative discipline such as Data Science, Statistics, Mathematics, Computer Science, or a related field
* Hands-on experience with AI/ML model development, deployment, and/or integration