Related skills
kpi r sql python data modeling📋 Description
- Define KPI frameworks for global Fraud & Safety ops.
- Build dashboards to monitor enforcement across regions and vendors.
- Lead reviews translating data into actionable Ops/Policy insights.
- Design experiments (A/B tests) to improve enforcement and UX.
- Optimize workforce and vendor analytics: staffing, queues, SLA.
- Scale analytics with self-service tools and standard metrics.
🎯 Requirements
- 8+ years in analytics, risk, or safety; 5+ years leading teams.
- Ownership of large-scale data products or taxonomies in a regulated environment.
- Experience supporting large-scale human operations (content moderation, fraud, risk ops).
- Strong SQL, data modeling; Python/R; ML pipelines.
- Design KPI and operational metrics; translate ambiguous problems into analytics.
- Influence cross-functional stakeholders (Ops, Product, Policy, Finance).
- Drive measurable improvements in quality, efficiency, and cost.
- Incident impact scoping, post-incident analytics, scenario planning.
🎁 Benefits
- Remote eligible; occasional in-office work as agreed.
- Inclusion & Belonging commitment to diverse talent.
- Disability accommodations in application process.
- Global collaboration with cross-functional teams.
- Possible bonus, equity, and employee travel credits.
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