WFS, a member of the SATS Group, is a global air cargo logistics leader and best in class ground handling partner.
We offer services for Air Cargo, Ground Handling and specialist needs.
SATS-WFS has a strong presence across a combined network of over 215 locations and employs over 46 000 of the finest professionals all over the world.
• Analyse operational, workforce, and volume data to generate accurate short‑term and mid‑term manpower forecasts,
ensuring alignment with operational peaks, flight schedules, customer SLAs, and resource availability.
• Collect, validate, and structure organizational data from multiple systems to produce daily, weekly, monthly, and annual
reports that support decision-making for staffing, budgeting, and operational planning.
• Develop dashboards, performance scorecards, and analytical summaries to track manpower productivity, process
efficiency, cost per activity, equipment utilization, and operational KPIs.
• Identify gaps in workforce deployment, overstaffing or understaffing trends, scheduling inefficiencies, and capacity
bottlenecks, offering clear data-driven recommendations to optimize resource allocation.
• Conduct scenario modelling and “what-if” analyses to support planning for new business, volume fluctuations,
operational disruptions, and customer requirement changes.
• Partner with HR and Operations to support planning for recruitment, third-party resource needs, training schedules,
and workforce upskilling by providing accurate manpower projections.
• Assess historical patterns, workload variability, and productivity trends to establish baselines, benchmarks, and
improvement targets for operational teams.
• Support budgeting processes by analysing cost impacts of staffing decisions, overtime trends, idle time, and equipment
usage, enabling leadership to make financially sound manpower planning choices.
• Evaluate process performance through data analysis, identifying root causes of delays, inefficiencies, SLA deviations, or
operational risks, and propose corrective actions.
• Maintain high data accuracy by establishing validation checks, cleansing routines, and data governance practices across
operational and workforce data sources.
• Collaborate with station/country/sub-region leaders to ensure analytical insights are understood, actionable, and
aligned with safety, compliance, and quality standards required in cargo operations.
• Continuously review and refine forecasting logic, planning models, and reporting templates to improve forecasting
accuracy and operational visibility.
• Track performance against KPIs, highlight variances, and prepare structured analytical reports for weekly, monthly, and
quarterly operational reviews with leadership.
• Support operational excellence initiatives by generating impact assessments, before‑after comparisons, cost-benefit
analyses, and sustainability tracking for implemented improvements.
• Act as the single point of contact for operational analytics, ensuring consistent communication, alignment of
expectations, and timely delivery of insights to support leadership decision-making.
• Keep updated on industry workforce planning trends, regulatory changes, and internal SOP updates to ensure all
analytical outputs remain compliant and operationally relevant.
• Provide clear documentation, presentations, and data stories that help non-technical stakeholders understand complex
analytical findings and implement changes effectively.