Workforce Analytics & Management Specialist (Live & Monetization)
Core
Build and maintain automated data pipelines to monitor workforce efficiency and real-time performance across global content moderation sites.
Role type
Senior IC data engineer (workforce analytics)
Builds
Automated Python/SQL reporting pipelines and real-time monitoring dashboards for site efficiency
Domain
Content moderation operations / Workforce Management
Required skills
Python, SQL, pandas, data pipeline automation, root-cause analysis, incident reporting, capacity modeling
Preferred skills
Real-time monitoring tooling, AI/LLM automation, cross-functional collaboration in global ops
Technologies
Python, SQL, pandas
Responsibilities
Own and iterate automated Python/SQL pipelines for daily site-efficiency and real-time monitoring reports; Identify data quality issues and logic errors proactively; Build ad-hoc analyses and data products to support operational decision-making; Participate in real-time monitoring to track queue performance across global sites; Generate and distribute P0/P1 incident reports to leadership; Monitor KPIs (SLA, AHT, Utilisation Rate) and initiate root-cause analysis for underperforming sites; Collaborate with cross-functional partners to design and implement efficiency improvement plans.
Seniority
Senior, hands-on IC
