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forecasting data analysis sql python excel📋 Description
- Build and optimise capacity plans across sites; translate demand into staffing.
- Partner with Product, Ops, Finance and Recruitment to ensure plans meet SLAs.
- Create and maintain performance/analytical reporting; track forecast accuracy, service levels, occupancy, costs.
- Run scenario modelling to improve forecasting accuracy (MAPE) and efficiency.
- Co-own budget planning and cost tracking; provide variance insights.
- Drive operating model improvements via data, automation and SQL analysis.
🎯 Requirements
- Forecasting, capacity planning, and scenario modelling in WFM.
- Strong analytical skills turning data into actionable insights.
- Advanced Excel; ability to run SQL queries (Python a plus).
- Independent, proactive in ambiguous environments.
- Proven automation and efficiency improvement track record.
- Strong stakeholder management and global communication.
🎁 Benefits
- High-impact role shaping scaling of support ops in a large on-demand market.
- Influence strategic workforce, cost, and service-level decisions.
- Collaborate with a global WFM team and growth-focused leadership.
- Exposure to cross-functional stakeholders and partners (DoorDash).
- Clear career progression in a data-driven, hybrid work environment.
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