微软Finance Manager

工作描述

任职要求
Required Qualifications;

 

• Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 4+ years experience in financial analysis, accounting, controllership or finance, or related field• OR Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 2+ years experience in financial analysis, accounting, controllership or finance, or related field
• OR equivalent experience

• 2+ years of relevant experience in operational finance and cost control, preferably in manufacturing, sourcing, or supply chain environments, with strong data analytics and AI capabilities and a proven ability to leverage data-driven insights and automation tools to improve business outcomes.
 

Preferred Qualifications (PQs) 

• Demonstrated growth mindset with the ability to thrive in a dynamic environment; strong change management and influence skills to drive cross-functional alignment and collaboration. 
• Strong analytical capabilities with the ability to deep dive into data, processes, and systems, and develop innovative, practical solutions to business challenges. 
• Proficiency in advanced data analysis tools such as Excel, SQL, and Power BI to manipulate, analyze, and visualize data; experience with Python and Power Platform is a plus. 
• Strong logical thinking and attention to data accuracy and quality, with a passion for improving processes and systems. 
• Ability to manage multiple workstreams in a fast-paced environment, with a “fail fast, learn fast” mindset. 
• Excellent written and verbal communication skills in English, including the ability to effectively engage with senior leadership and business partners. 
• Strong collaboration and partnership skills, with the ability to build and maintain effective cross-functional networks. 
• Ability to lead or support RPA-related programs, partnering with IT and business teams to define program plans, track progress, manage risks, and deliver results. 
• Strong motivation to leverage advanced systems, tools, and platforms to drive data automation, process improvements, and AI-driven initiatives. 
• Willingness to travel (approximately 10–30%) for factory visits and compliance audits.
 

Preferred attributes:

• Positive, resilient attitude with the …