About the role
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.
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
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).