Sr. Financial Analyst

Ready to accelerate your career at the intersection of high-growth software and global infrastructure? Trimble is looking for a data-driven Finance Analyst to partner with senior leaders, turning complex SaaS metrics into strategic growth engines that transform how the world builds and operates. You will leverage modern AI tools and predictive analytics to drive efficient capital allocation, ensuring our Architecture, Engineering, Construction & Owner (AECO) sector remains at the forefront of digital innovation.

About Us

Trimble is a global technology company that connects the physical and digital worlds, transforming the ways work gets done. With relentless innovation in precise positioning, modeling and data analytics, Trimble enables essential industries including construction, geospatial and transportation. Whether it's helping customers build and maintain infrastructure, design and construct buildings, optimize global supply chains or map the world, Trimble is at the forefront, driving productivity and progress.

AECO: The Trimble AECO segment provides digital construction solutions that increase precision and productivity for Architecture, Engineering, Construction, and Operations.

What Makes This Role Great

In this role, you’ll be a trusted advisor to high-level international leaders, directly influencing strategic business decisions and capital allocation for our high-growth AECO software sector. You’ll have the unique opportunity to experiment with cutting-edge AI and predictive analytics tools, moving beyond traditional reporting to shape the future of product-led growth on a global scale.

What you will do

As a Finance Analyst specializing in supporting International Owner & Public Sector business for the Architecture, Engineering, Construction & Owner (AECO) software sector, you will play a pivotal role in driving financial strategy and decision-making with exposure to senior leaders in the International Owner & Public Sector organization.  You will help to develop and track strategic business decisions to drive efficient capital allocation aligned with Product-led growth initiatives. 

This role provides a great opportunity for a financial professional to grow their career on a wide variety of financial topics, reporting to the Senior Director, Financial Planning and Analysis.  

• Support the operations of the Trimble AECO Sector with a focus on forecasting, variance analysis, modeling, and reporting of monthly and quarterly results

• Serve as a trusted business advisor for high level leaders, providing financial guidance and support to facilitate informed decision making

• Analyze financial performance, identify trends, and provide actionable insights to business stakeholders to optimize resource and capital allocation and bring action to inefficiencies 

• Drive process improvements and automation initiatives to streamline financial processes, drive efficiency, and improve data and forecast accuracy

• Partner with Finance and Operations teams to design data-driven insights that support cross-functional business decisions.

• Experiment with and apply modern data/AI tools (e.g., predictive analytics, anomaly detection, AI-assisted reconciliations) to improve processes.

What Skills & Experience You Should Bring

• Experience: A minimum of 5 years of experience in a relevant finance or accounting role. Experience in a Financial Planning & Analysis (FP&A) capacity, supporting business leaders within a SaaS, software, tech startup, or high-growth technology environment, is preferred.

• Technical Skills: Strong proficiency with MS/Google Office Suite (Excel/Google Sheets, Word, and PowerPoint/Google Slides) and a basic understanding of US GAAP.

• Analytical & Problem-Solving: Possesses strong analytical and problem-solving skills, with a self-starter mentality and the ability to focus on details while also thinking at a higher level.

• Data & AI: Experience using data to generate insights for various teams (Finance and Operations). Proficient in applying modern data/AI tools such as predictive analytics and anomaly detection.

• Collaboration: Experien