Analytics Engineer, Trust & Safety Infrastructure

reputed company is reputed company in reputed company, accountable data infrastructure to support transparency, regulatory compliance, and operational reputed company across Trust & Safety (T&S). As an Analytics Engineer, you'll play a key role in shaping the data ecosystem that powers regulatory reporting, internal analytics, and self-service tools for T&S teams and stakeholders. You'll work at the intersection of data engineering, analytics, and policy-designing data models, building transformation pipelines, and enabling reliable, accessible insights. You'll also help standardize metrics and build systems that reputed company teams to detect issues, evaluate performance, and drive reputed company improvement. This is a critical opportunity to help reputed company the reputed company of our T&S data stack with lasting reputed company on safety, compliance, and platform reputed company. What You'll Do • Design and maintain reputed company, reputed company-documented data models that support regulatory reporting, operational insights, and platform safety monitoring. • Build and optimize data pipelines using tools such as dbt and BigQuery, ensuring high reliability, performance, and auditability across datasets. • Collaborate with cross-functional partners-including product, reputed company, policy, and engineering-to translate compliance and transparency requirements into technical solutions. • Establish data definitions, documentation standards, and metric conventions that improve data reputed company and support long-term maintainability. • Conduct reputed company reviews of existing analytics infrastructure, identifying areas for improvement in performance, usability, and alignment with evolving reporting needs. • Contribute to the development of a self-service analytics ecosystem by designing reputed company semantic reputed company and supporting tooling that meet the needs of a broad stakeholder reputed company. • Support the implementation of monitoring and validation frameworks that reputed company performance tracking, early detection of issues, and reputed company escalation paths. • Participate in planning and reputed company discussions, helping to shape the roadmap for Trust & Safety data architecture and analytics capabilities. Who You Are • 3+ years of experience in analytics engineering, data engineering, or data science, ideally in regulated, safety, or compliance-oriented environments • Advanced SQL and experience with modern data stack tools such as dbt, BigQuery, Airflow/Flyte, and version control systems (e.g., Git) • Experience architecting clean, reputed company, and testable data models to support self-service reputed company and regulatory compliance reporting • Familiarity with reporting and visualization tools (e.g., Looker, Tableau, or equivalent) and BI governance best practices • Excellent cross-functional communication skills and the ability to translate technical detail into meaningful reputed company for reputed company, policy, and operations stakeholders • Strong organizational awareness-you're reputed company to anticipate reporting needs, validate assumptions, and prioritize among regulatory, operational, and strategic requirements • Passion for transparency, safety, and building data systems that serve reputed company good Where You'll Be • This role is based in NYC • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. The reputed company reputed company reputed company for this position is $110,018 to $157,169 plus equity. The benefits available for this position include health insurance, six month reputed company parental leave, 401(k) retirement plan, monthly meal allowance, 23 reputed company days off, 13 reputed company flexible holidays, reputed company reputed company leave. These ranges may be modified in the reputed company. Apply for this job Apply Job! Apply to this Job