Financial Planner & Analyst Manager

Are you ready to turn complex datasets into the strategic roadmap for one of the world’s most iconic technology innovators? At Hitachi America, Ltd., we are looking for a forward-thinking Financial Planner & Analyst Manager to join our R&D division in Santa Clara. This is not your typical finance role; you will sit at the intersection of cutting-edge Data & Analytics and high-level corporate strategy. We are seeking a rising talent who is passionate about translating numbers into narratives, helping our research teams push the boundaries of what is possible in the digital age.

In this role, you will be a key architect of our financial future, utilizing data-driven insights to guide investment decisions and operational efficiency across our R&D portfolio. You will collaborate with cross-functional teams, leveraging analytical tools to forecast trends, identify growth opportunities, and provide actionable intelligence that drives Hitachi’s global mission. Whether you are a recent graduate or early in your career, this position offers a unique launchpad to develop your financial expertise while working alongside world-class engineers and researchers who are shaping the future of global infrastructure and social innovation.

We are searching for a candidate who thrives in a collaborative, fast-paced environment and possesses a sharp eye for detail and a natural curiosity for data. If you have a solid foundation in financial modeling, a knack for advanced analytics, and the drive to make a tangible impact at a Fortune 500 leader, we want to meet you. Join our team in the heart of Silicon Valley and help us bridge the gap between creative research and fiscal excellence as we continue to power the future through Hitachi’s unique Social Innovation Business.

Requirements

• Strong proficiency in SQL and data visualization tools (Tableau, PowerBI).
• Experience with statistical programming languages like R or Python.
• Ability to derive actionable insights from large, complex datasets.
• Strong mathematical background and analytical thinking.
• Experience with data warehousing and ETL processes is beneficial.
• Degree in Statistics, Mathematics, Economics, or a related field.