Meta Remote Content Tag Review Analyst

process description

At Meta, we’re experiencing an first-rate wave of innovation in automation and intelligent gear that is reworking how we pressure impact via records & analytics. As a records analyst in international operations, you’ll have the possibility to mix your analytical information with an AI-first mind-

set to design and install analytical solutions that pressure strategic selection-making and operational performance at a worldwide scale. you’ll accomplice with operational, facts science, facts engineering, and product groups globally to optimize methods, automate workflows, provide information–driven insights, and uplift the crew’s skillability in leveraging new technologies.

facts Analyst, international Operations duties:
accomplice with operations, data science, engineering, and product groups to address complex enterprise challenges through AI-first analytical techniques and answers
build, maintain, and optimize scalable statistics pipelines, dashboards, automatic reports, and self-

carrier gear for groups across Meta
Champion the adoption and integration of AI tooling within analytics workflows, instructing and uplifting group talent in cutting-edge solutions and progressive wondering

speak complicated insights absolutely to technical and non-technical stakeholders, influencing selections and commercial enterprise effects
continuously discover and experiment with rising technology and automation strategies to improve the team’s analytics offerings

minimum qualifications:

7+ years of enjoy in analytics, operations, product, engineering, or related fields—ideally within cut-off date centered tech environments or consulting
Bachelor’s degree in a quantitative subject which include computer technological know-how, facts technology, information, arithmetic, Operations studies, or equivalent practical revel in
advanced proficiency in square, and revel in with Python, for statistics analysis and automation
proven enjoy constructing and deploying scalable information pipelines and productionizing dashboards the use of BI gear (e.g., Tableau)

track file of proactively the usage of AI equipment to power productivity and innovation throughout tasks and groups (bonus for championing AI adoption and training inside groups)
strong information of statistical evaluation with practical utility to actual–international business problems
validated ability to independently control analytics tasks give up-to-give up, from problem definition to enterprise adoption and impact size