人力分析负责人
Workforce Analytics Lead
职位描述
我们正在寻找一位人力分析负责人，负责构建和管理公司的影子层——这一分析基础架构支持利用率跟踪、出勤健康状况以及人力岗位的管理。该职位负责创建数据驱动的人力智能工具，包括利用率评分、每日结束机器人指标、空闲时间警报和出勤风险标志，确保运营负责人能够实时掌握绩效和产能健康状况。
任职要求
- 至少4–5年在人力分析、商业智能或运营数据管理方面的经验。
- 精通Excel/Google Sheets、SQL或数据可视化工具（例如Looker、Power BI、Tableau、Google Data Studio）。
- 有使用自动化工具、机器人或工作流集成的经验（如Zapier、Make、内部脚本）。
- 有为基于服务或人力的业务构建数据模型或利用率框架的实绩。
- 注重细节，具备分析严谨性，并能将数据洞察转化为运营行动。
- 具备优秀的沟通能力，能够与技术和非技术团队协作。
加分项
- 在BPO/远程人力环境中有利用率和出勤监控系统的经验。
- 熟悉预测建模或风险标志算法。
- 有管理数据治理或在多个系统之间进行ETL流程的经验。
部门：分析 / 人力管理
工作模式：远程 / 混合办公
最初发布于Himalayas
查看英文原文
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 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
Originally posted on Himalayas