Data Analyst, Global Operations

Meta; Menlo Park (CA); On-site; USD 125,000 - 178,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking a Data Analyst in Global Operations to blend analytical expertise with an AI-first mindset, designing and deploying analytical solutions that scale globally. You will partner with operations, data science, data engineering, and product teams to optimize processes and automate workflows.

You will build and productionize dashboards and data pipelines, champion AI adoption in analytics, and communicate insights to diverse stakeholders to drive strategic decisions and measurable

Qualifications

• 7+ years of experience in analytics, operations, product, or engineering, in deadline-driven tech environments or consulting.
• Bachelor’s degree in a quantitative discipline.
• Advanced proficiency in SQL, and Python for data analysis and automation.
• Experience building and deploying scalable data pipelines and dashboards using BI tools (e.g., Tableau).
• Track record of using AI tools to drive productivity and innovation across projects.

Responsibilities

• Partner with operations, data science, engineering, and product teams to address complex business challenges with 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, uplifting team proficiency in modern solutions.
• 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 analytics offerings.

Skills

Analytical mindset

Communication

Problem solving

End-to-end analytics

Education

Bachelor’s degree in a quantitative discipline

Master’s degree in related field

Tools

SQL

Python

Tableau

BI tools

Job 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.

Data Analyst, Global Operations 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

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

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

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.