Operations Data Analyst

Title: Operations Data Analyst Location: REMOTE Duration: 12 months plus extensions Duties: The Fraud & Safety Operations Analytics team is looking for an operations data analyst with a strong delivery record of working with several data sources for identifying, analyzing, visualizing and interpreting trends for solving high priority business problems. In this role, you will support the Fraud & Safety Investigation operations team to drive impactful results for • • • , and be involved in the end-to-end project lifecycle right from problem definition to creating dashboards for sharing insights. You will: Enable faster turnaround on operational metrics, reporting, and experiment readouts Strengthen detection, review efficiency, and enforcement visibility Support high-priority fraud and abuse operations analytics with immediate execution bandwidth Partner with Ops, Product, and DS to translate findings into actions Understand where the system is leaking (Entry → Detection → Review → Enforcement → Appeal analysis) Ensure the support org is running effectively at scale Connect ops actions to risk outcomes - Fraud Loss and Risk Monitoring Validate what's working through experimentation and initiative measurement Governance and metric hygiene - Define, create and visualize metrics / dashboards for problem definition for tracking project success/workstream health Build strong relationships and trust with stakeholders, keeping them and their teams engaged in the project Skills: • 5 years in an ops data analyst or similar role in a high throughput organization • High proficiency in Advanced SQL developing queries • Experience building full workflow/funnel metric suits (in Customer Support/Operations a plus) • Working knowledge and understanding of Forecasting techniques, Experiments, Causation & Correlation, and Statistical models • Experience with Superset, Tableau, or similar BI platform (e.g. Salesforce) to develop reports and dashboards • Ability to work independently with stakeholders, write requirements, and solve analytical problems in fast-paced, ambiguous environments • Able to serve as a liaison between business and technical teams (e.g. AE/DE, Eng) to drive effective, timely solutions, insights to actions, that fulfill both strategic and operational needs • Able to team effectively with others and build relationships at all levels, both within the team and with stakeholders Highly Preferred: • Experience in Operations or Customer Support teams analytics