Data Analyst, Global Operations

Meta; New York (NY); On-site; USD 125,000 - 178,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta in New York is seeking a data analyst in global operations to design and deploy analytical solutions that drive strategic decision-making and operational efficiency at a global scale. You will partner with operations, data science, data engineering, and product teams to optimize processes and automate workflows.

You will build scalable data pipelines, dashboards, automated reports, and self-service tools, while championing AI tooling adoption and informing stakeholders across technical and

Qualifications

• 7+ years of analytics/operations/product/engineering experience in deadline-driven environments.
• Bachelor’s degree in a quantitative field or equivalent practical experience.
• Advanced SQL and Python for data analysis and automation.
• Experience building scalable data pipelines and dashboards with BI tools (Tableau).
• Proven use of AI tools to boost productivity across projects.
• Strong statistical analysis applied to business problems.
• End-to-end analytics project management experience.

Responsibilities

• Partner with operations, data science, engineering, and product teams on AI-first analytical strategies.
• Build, maintain, and optimize scalable data pipelines, dashboards, automated reports, and self-service tools.
• Champion adoption and integration of AI tooling within analytics workflows.
• Communicate complex insights clearly to technical and non-technical stakeholders.
• Explore emerging technologies to advance the team’s analytics offerings.

Skills

Data analytics

Operations experience

AI-first mindset

Stakeholder communication

Education

Bachelor's degree in a quantitative discipline

Master's degree in a quantitative discipline

Tools

SQL

Python

Tableau

AI tools

Job description

Summary:

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.

Required Skills:

Data Analyst, Global Operations Responsibilities:

1. Partner with operations, data science, engineering, and product teams to address complex business challenges through AI-first analytical strategies and solutions

2. Build, maintain, and optimize scalable data pipelines, dashboards, automated reports, and self-service tools for teams across Meta

3. Champion the adoption and integration of AI tooling within analytics workflows, educating and uplifting team proficiency in modern solutions and innovative thinking

4. Communicate complex insights clearly to technical and non-technical stakeholders, influencing decisions and business outcomes

5. Continuously explore and experiment with emerging technologies and automation methods to advance the team’s analytics offerings

Minimum Qualifications:

Minimum Qualifications:

1. 7+ years of experience in analytics, operations, product, engineering, or related fields-ideally within deadline-focused tech environments or consulting

2. Bachelor’s degree in a quantitative discipline such as Computer Science, Data Science, Statistics, Mathematics, Operations Research, or equivalent practical experience

3. Advanced proficiency in SQL, and experience with Python, for data analysis and automation

4. Proven experience building and deploying scalable data pipelines and productionizing dashboards using BI tools (e.g., Tableau)

5. 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)

6. Solid understanding of statistical analysis with practical application to real-world business problems

7. Demonstrated ability to independently manage analytics projects end-to-end, from problem definition to business adoption and impact measurement

Preferred Qualifications:

Preferred Qualifications:

1. Master’s degree or higher in a quantitative discipline such as Data Science, Statistics, Mathematics, Computer Science, or a related field

2. Hands-on experience with AI/ML model development, deployment, and/or integration

Public Compensation:

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

Industry: Internet

Equal Opportunity:

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].