Wing Assistant is hiring a Workforce Analytics Lead

About the Role We’re looking for a Workforce Analytics Lead to build and manage the company’s Shadow Layer — the analytics backbone that powers utilization tracking, attendance health, and workforce stability. This role owns the creation of data-driven workforce intelligence tools, including utilization scoring, EOD bot metrics, idle-time alerts, and attendance risk flags, ensuring operational leaders have real-time visibility into performance and capacity health. Key Responsibilities - Design and implement the Workforce Utilization Score, integrating data from time logs, active accounts, and productivity indicators. - Develop and maintain EOD bot analytics, automating daily performance summaries and activity reporting. - Build real-time dashboards to flag idle, at-risk, or unassigned talent for proactive redeployment. - Create attendance risk algorithms to predict potential absenteeism, attrition, or engagement drops. - Partner with Operations, Training, and HR to align data definitions, reporting logic, and corrective triggers. - Conduct deep-dive analyses to identify trends in attendance, productivity, and client satisfaction correlation. - Maintain data accuracy and hygiene across workforce systems and shadow databases. - Generate periodic workforce health reports for leadership visibility, including utilization rate, idle ratio, and SLA adherence. - Lead the Shadow Layer roadmap, defining automation priorities and integration with existing tools (e.g., Apploye, Wing App, HRIS). Qualifications - At least 4–5 years of experience in workforce analytics, business intelligence, or operations data management. - Strong proficiency in Excel/Google Sheets, SQL, or data visualization tools (e.g., Looker, Power BI, Tableau, Google Data Studio). - Experience with automation tools, bots, or workflow integrations (Zapier, Make, internal scripts). - Proven track record building data models or utilization frameworks for service or workforce-based businesses. - High attention to detail, analytical rigor, and ability to translate data insights into operational actions. - Excellent communication skills to collaborate with technical and non-technical teams. Preferred Skills - Experience in BPO / remote workforce environments with utilization and attendance monitoring systems. - Familiarity with predictive modeling or risk flag algorithms. - Background in managing data governance or ETL processes between multiple systems. Department: Analytics / Workforce Management Work Setup: Remote / Hybrid