Global Operations Data Analyst
@ Meta

London, England, United Kingdom
$150,000
On Site
Full Time
Posted 21 days ago

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Job Details

About the Role

The Global Operations Data Analyst at Meta plays a critical role in supporting operational efficiency and strategic decision-making for global teams. In this role, you will help optimize processes, improve performance, and drive business outcomes through data-driven insights.

Responsibilities

As the Global Operations Data Analyst, you will:

  • Partner with operations, data science, data engineering, and product teams to define analytical solutions.
  • Design and execute data analyses to uncover insights and drive strategic decisions.
  • Create dashboards, automated reports, and self-service tools using BI platforms like Tableau.
  • Build and maintain data pipelines and proper documentation.
  • Communicate analysis results to technical and non-technical stakeholders to influence business outcomes.

Minimum Qualifications

Candidates should have:

  • 5+ years professional experience in analytics, operations, product, engineering, or equivalent.
  • A B.A. or B.S. degree with a quantitative focus (e.g., Computer Science, Math, Statistics, Business Analytics).
  • Advanced proficiency in SQL and data manipulation of complex datasets.
  • Extensive experience with data visualization tools such as Tableau.
  • Professional experience in building and deploying data pipelines.
  • Ability to manage analytics projects end to end and communicate insights clearly.

Preferred Qualifications

Additional strengths include:

  • An advanced degree with a quantitative focus.
  • Experience leveraging AI to drive operational efficiencies.
  • Familiarity with data science and machine learning concepts applied to business problems.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. With a history of groundbreaking products like Facebook, Messenger, Instagram, and WhatsApp, Meta is evolving toward immersive experiences such as augmented and virtual reality.

Key skills/competency

  • Data Analysis
  • SQL
  • Tableau
  • Data Pipelines
  • Data Visualization
  • Operational Efficiency
  • Business Analytics
  • Process Optimization
  • Cross-functional Collaboration
  • Statistical Analysis
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How to Get Hired at Meta

🎯 Tips for Getting Hired

  • Customize your resume: Tailor your skills to Meta’s requirements.
  • Highlight data projects: Emphasize SQL, Tableau, and pipeline experience.
  • Research Meta: Understand the company’s mission and culture.
  • Prepare for interviews: Focus on technical and behavioral questions.

📝 Interview Preparation Advice

Technical Preparation

Review advanced SQL queries and data manipulation.
Practice Tableau dashboard creation and automation.
Study data pipeline development and ETL best practices.
Learn basic machine learning concepts applied to business.

Behavioral Questions

Describe a time you solved a data challenge.
Explain cross-team collaboration on analytics projects.
Discuss decision-making based on data insights.
Share how you manage project timelines under pressure.

Frequently Asked Questions