Trust and Safety Analyst

Trust & Safety Analyst Location: Austin, TX (Hybrid) Contract: 7-8 Months We are seeking a Trust & Safety Analyst to help protect users and strengthen platform integrity by identifying risks, preventing abuse, and improving the operational processes that support global Trust & Safety initiatives. In this role, you will work with cross-functional teams to analyze data, lead project execution, and support the development of scalable solutions that reduce harm and enhance user safety. What You’ll Do • Lead well-defined Trust & Safety projects, including planning, timeline tracking, reporting, and stakeholder coordination. • Conduct data-driven analysis to identify trends in abuse and operational performance, and translate findings into clear insights and recommendations. • Build and maintain dashboards, metrics, and reporting structures to support ongoing program monitoring. • Work closely with business analysts, operations teams, policy experts, and data partners to support system integrations and process improvements. • Manage escalations and operational issues, performing root-cause analysis and driving resolution to prevent recurrence. • Identify and propose improvements to workflows that increase accuracy, reduce latency, and improve user safety outcomes. • Act as a subject-matter contact for Trust & Safety operations, providing clarity, documentation, and guidance to global partners. What You’ll Bring • Experience in data analysis and modeling, using tools such as SQL, spreadsheets, or BI platforms (Tableau, Power BI, etc.). • Strong project management and organizational skills, with ability to manage timelines and deliverables independently. • Ability to identify problems, evaluate alternatives, and recommend effective solutions. • Excellent communication skills and comfort working across global, cross-functional teams. • Experience in operations improvement, workflow optimization, or risk mitigation. • Familiarity with Trust & Safety, Risk, Security Operations, Compliance, or related environments is a plus (not required). • Understanding of machine learning concepts as they relate to abuse detection is helpful but not required.