Workforce Analytics Lead

October 11

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Wing Assistant

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B2B • SaaS • Productivity

Wing Assistant is a company specializing in providing virtual assistant services to businesses worldwide. The company offers a wide range of services including general virtual assistant work, executive assistance, customer service, bookkeeping, and digital marketing. Wing Assistant aims to enhance productivity for startups and enterprise teams by delegating tasks to dedicated virtual assistants, reducing operational load, and enabling businesses to focus on core activities. Their services are accessible via a subscription model, providing flexible and cost-effective solutions compared to traditional hiring methods. Clients benefit from a dedicated assistant model where the assistant works solely for their business, gaining a deeper understanding of their processes over time.

501 - 1000 employees

🤝 B2B

☁️ SaaS

⚡ Productivity

💰 $2.1M Seed Round on 2022-03

📋 Description

• 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).

🎯 Requirements

• 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. • 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.