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Meta

Data Analyst, Global Operations

Meta · Austin, Texas, United States · $125K–$178K/yr

Software Development · 10,001+ employees

Yesterday
Senior (5-10 yrs) Full-time United States
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About the role

Partner with cross-functional teams to design and deploy AI-first analytical strategies that drive operational efficiency and strategic decision-making. Build and maintain scalable data pipelines, dashboards, and automated reports while championing the adoption of AI tools across the organization.

What they look for

SQL Python Tableau Data Analysis Automation Data Pipelines Statistical Analysis AI/ML Integration Business Intelligence Strategic Decision-making Operational Efficiency Project Management Data Visualization Workflow Optimization Stakeholder Communication

Requirements

Requires 7+ years of experience in analytics or related fields and a bachelor's degree in a quantitative discipline. Candidates must possess advanced proficiency in SQL, experience with Python, and a proven track record of managing end-to-end analytics projects.

Benefits

Bonus Equity Health Insurance

Full description

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

Minimum 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

Preferred Qualifications

  • 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

$125,000/year to $178,000/year + bonus + equity + benefits