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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
- 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
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 [email protected].
$150,000/year to $213,000/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.
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