Cost FP&A Analyst
GE Healthcare
Job Description Summary
Responsible for supporting financial planning, analysis, forecasting, reporting, and operational cost management activities for the International organisation. Works closely with Cost FP&A leaders, zone FP&A teams, and functional stakeholders to provide cost visibility, maintain reporting accuracy, support forecasting cycles, and drive productivity initiatives. Develops analytical expertise while contributing to process standardisation, reporting automation, and continuous improvement efforts.
GE Healthcare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.
Roles and Responsibilities
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- Support the preparation and consolidation of cost reporting, forecasting, budgeting, and planning activities across the International organisation.
- Assist in the maintenance and enhancement of cost reporting tools, dashboards, and KPI tracking to improve cost visibility and decision-making.
- Partner with Cost FP&A leaders and regional FP&A teams to ensure reporting consistency, data quality, and alignment across zones.
- Perform monthly, quarterly, and annual financial analysis to identify trends, risks, opportunities, and cost variances.
- Support closing activities and validate cost allocations to ensure financial results accurately reflect operational performance.
- Analyse spending across key cost categories including headcount, contractors, travel, purchased services, and operating expenses.
- Assist in the preparation of leadership reporting packages, business reviews, and productivity tracking dashboards.
- Maintain forecasting models and support budget preparation activities for functional and regional stakeholders.
- Collaborate with cross-functional teams to collect, validate, and reconcile financial and operational data.
- Support process simplification, reporting automation, and digitisation initiatives to improve efficiency and reduce manual effort.
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