Workforce Analytics Lead

3 weeks ago

Manila, Philippines Medium Full time

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. ₱60,000 - ₱85,000 a month 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 #J-18808-Ljbffr

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