Note: The job is a remote job and is open to candidates in USA. CBRE is seeking a Workforce Planning Data Scientist to support recruiting, staffing, workforce, and operational decision-making through data-driven insights. The role analyzes complex datasets, develops forecasts and dashboards, manages data quality, and translates findings into recommendations for workforce and recruiting leadership.
Responsibilities
- Analyze workforce, recruiting, staffing, attrition, requisition, offer, start, and productivity data to identify trends, risks, and opportunities
- Evaluate staffing performance across sites, business units, roles, and time periods
- Analyze historical attrition patterns to identify where future hiring demand is likely to occur
- Develop models and recommendations that help determine when and where requisitions should be opened proactively
- Identify trends across weekly, monthly, quarterly, and historical workforce performance
- Analyze relationships between staffing levels, attrition, hiring activity, requisition volume, recruiter productivity, and hiring outcomes
- Conduct ad hoc analyses in response to evolving workforce and leadership priorities
- Build workforce forecasts incorporating staffing requirements, active headcount, attrition, projected starts, hiring velocity, and historical trends
- Identify emerging staffing risks before they materially impact operations
- Develop scenario analyses to evaluate different hiring and attrition assumptions
- Identify leading indicators that can improve workforce planning and recruiting decisions
- Assess whether workforce and recruiting performance is trending toward or away from established targets
- Design and maintain intuitive dashboards that translate complex datasets into clear, actionable information
- Develop reporting for staffing health, recruiter productivity, requisition aging, time to offer, hiring outcomes, attrition, projected starts, and workforce demand
- Create leadership level views that allow users to quickly understand performance, risks, trends, and required actions
- Continuously improve dashboards based on business needs and user feedback
- Work with multiple data sources and large datasets that may contain hundreds of thousands to millions of records
- Clean, transform, combine, and structure data for analysis and reporting
- Understand data pipelines, relationships, joins, data models, and source/system dependencies
- Partner with Data Engineering and BI resources on more complex data architecture and pipeline requirements
- Automate repeatable reporting and data preparation processes when practical
- Troubleshoot data inconsistencies and reconcile conflicting numbers across systems
- Validate and reconcile workforce metrics before they are used for business decisions
- Identify data quality issues, missing information, duplicate records, inconsistent definitions, and source/system discrepancies
- Establish clear metric definitions and calculation logic
- Ensure leadership reporting is consistent, repeatable, and explainable
Skills
- Demonstrated experience analyzing complex, high volumedatasets
- Strong experience developing dashboards andexecutive level reporting
- Experience performing trend analysis,forecasting, and scenario modeling
- Demonstrated ability to reconcile data acrossmultiple systems and identify data quality issues
- Experience translating complex analyticalfindings into understandable business recommendations
- Advanced SQL
- Advanced Excel, including Power Query,PivotTables, XLOOKUP/INDEXMATCH, complex formulas, and large dataset management
- Power BI dashboard development experience
- Data modeling and relational database concepts
- ETL/ELT concepts
- Python, particularly Pandas and NumPy
- Familiarity with APIs and automated dataingestion
- Experience with cloud data environments or datawarehouses
- Familiarity with Power Automate or similarworkflow automation tools
- Experience with ATS, HRIS, workforce management,or recruiting datasets
- Experience building workforce planning orcapacity models
- Understanding of basic regression, correlation,seasonality, and forecasting methodologies
- Bachelor's Degree preferred with 5 plus years ofrelevant experience in talent acquisition analytics, workforce planning, orpeople analytics
- Workforce planning, recruiting analytics, HRanalytics, operations, or high-volume staffing experience strongly preferred
Benefits
- Remote work arrangement
Company Overview
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