Data-Driven Financial Strategist
hace 1 semana
Company Overview
We're a leading innovator in the mobility sector, shaping the future of transportation and infrastructure. Our dedication to technological advancement drives us to seek talented professionals who can help us push boundaries.
About Siemens Mobility
Siemens Mobility is a pioneer in sustainable and efficient mobility solutions. We provide innovative products and services that improve safety, efficiency, and convenience for people and goods on land, at sea, and in the air.
Job Description
We're seeking an accomplished Data-Driven Financial Strategist to join our team. In this role, you will be responsible for providing financial guidance and support to our organization units. Your expertise will be instrumental in driving business growth and ensuring financial stability.
Main Responsibilities
- Monitor VAT refund processes and identify areas for improvement
- Analyze hedging impacts and suggest optimization strategies
- Oversee charges for support functions and ensure accurate cost allocation
- Conduct monthly reviews of Cost and Profit Center controlling reports
- Collaborate with cross-functional teams to drive finance digitalization initiatives
- Develop and implement process improvements using data-driven insights
Requirements
- 3+ years of experience in financial planning, analysis, or related field
- Proficiency in MS Excel and SAP, with ability to learn new tools quickly
- Strong analytical and problem-solving skills, with attention to detail
Benefits
We offer a dynamic work environment, flexible working hours, and opportunities for career growth and development. Our commitment to diversity and inclusion ensures a workplace where everyone feels valued and supported.
Why Work with Us
- Contribute to shaping the future of mobility and sustainability
- Work with talented professionals who share your passion for innovation
- Enjoy a collaborative and inclusive work culture
- Take advantage of training and development opportunities to enhance your skills
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