Senior Treasury Business Intelligence Analyst

Role Overview

• Drive the execution and automation of the back-office.
• Own the end-to-end delivery of reconciliations, reporting, cash positioning, and administrative bank processes, while designing and implementing scalable automation solutions (RPA, AI, Python, TMS tools) to replace manual workflows, improve accuracy and timeliness, strengthen controls, and support a growing, multi-country treasury environment.
• Automation of Liquidity Management: Implement advanced analytical tools and automation solutions to enhance liquidity forecasting and management. Utilize AI and machine learning models to predict cash flow trends and optimize cash holdings, improving the accuracy of standardized reporting across different regions.
• Innovative Cash Forecasting Techniques: Leverage cutting-edge technology such as predictive analytics and AI to refine cash forecasting models. Develop innovative approaches for integrating real-time data into forecasting processes, enabling proactive cash management and performance measurement through dynamic KPIs.
• Banking Relations: Effectively partner with external relationship banks, consultants and advisors to successfully execute treasury operations and strategy.
• Process Innovation for Treasury Operations: Drive the adoption of process automation tools such as RPA (Robotic Process Automation) and AI (Artificial Intelligence) to reduce manual processes, enhance accuracy, and improve operational efficiency in global treasury operations.
• Country operationalizations: lead or assist with the country operationalizations by assisting the various teams (IO, Payments, Payroll and Accounting) with the intercompany loans setup & registrations, e-banking users and 1st penny tests.
• Advanced Reporting Tools: Utilize business intelligence platforms to automate cash position reporting and analysis. Employ visualization tools to present complex data in an accessible format, providing strategic insights into cash flow trends and decision-making support.
• Investment & Debt Activities: Collaborate with the treasury team on short-term investments or borrowing based on cash surplus or deficit projections.
• Risk Management: Monitor and manage risks related to cash positions, including fraud risks. Ensure compliance with internal controls and procedures.
• Leveraging New Technologies for System Optimization: Continually evaluate and adopt new technologies such as cloud-based treasury management systems (TMS) to improve functionality, data integration, and user experience.
• Project Involvement: Participate in or lead projects related to cash management, banking transitions, system implementations, etc.
• Cross-Functional Collaboration: Work with various departments such as finance, accounting, operations, and procurement to gather data and understand cash flow implications.
• Training and support for new team members: Train and support new team members joining the treasury function, ensuring a smooth onboarding process and fostering a collaborative and knowledgeable team environment.

Requirements

• Bachelor’s or Master’s degree in Finance, Economics, Data Science, Business Analytics, or a related field.
• Relevant experience in Finance, Analytics, or related roles; prior experience in Corporate Treasury or Cash Management is beneficial but not required.
• Strong understanding of liquidity, cash flows, and financial data in a multi-entity environment, with the ability to translate this knowledge into operational execution or automation solutions
• Proven capability to thrive in high-pressure scenarios, especially when faced with tight deadlines and multitasking.
• Strong analytical mindset with the ability to translate complex datasets into clear, actionable insights.
• Proven experience improving or automating treasury or finance processes, with practical exposure to tools such as advanced Excel, BI tools, RPA solutions, Python, or similar automation technologies.
• Ability to work cross-functionally with Accounting, Payments, Payroll, IT, and Operations teams.
• Proficient in English, both spoken and written.

Tech Stack

• Cloud
• Python
• RPA

Benefits

• work from anywhere
• flexible paid time off
• flexible working hours (we are async)
• 16 weeks paid parental leave
• mental health support services
• stock options
• learning budget
• home office budget & IT equipment
• budget for local in-person social events or co-working spaces