Order-to-Cash Analytics Manager

About the role

This is a leadership role with end-to-end accountability for reporting delivery, team performance, and the ongoing evolution of the OTC analytics landscape. You will build and lead a high-performing team, ensure consistent and high-quality reporting, and drive standardization, automation, and data-driven decision-making across the function. You will work closely with OTC Operations, IT, Digital Enablement (DE), PPI, Automation, and Project Management teams to enhance data integrity, streamline processes, and contribute to key transformation initiatives.

Key responsibilities

• Lead, mentor, and develop a team of data analysts and reporting specialists
• Set clear objectives, manage performance, and ensure strong engagement and accountability
• Foster a culture of ownership, continuous improvement, and customer focus
• Support talent development through regular coaching, feedback, and skip-level interactions
• Own end-to-end delivery of OTC reporting, including month-end and critical performance metrics
• Define reporting standards, definitions, and governance across regions
• Ensure accuracy, consistency, and governance of data across all outputs
• Oversee the design, development, and maintenance of dashboards and reports
• Partner with OTC Operations, IT, DE and global stakeholders to define reporting requirements
• Drive standardization and continuous improvement across OTC reporting processes

About you

• Bachelor's degree in Finance, Business, Data Analytics, or related field
• Strong leadership presence with the ability to inspire, develop, and retain talent
• Excellent stakeholder management and influencing skills in a global, matrixed environment
• Strong analytical mindset with the ability to translate data into business value
• Proven experience leading teams in data-driven environments
• Strong expertise in OTC processes (credit, collections, cash application, etc.)
• Experience with BI tools, SQL, and advanced Excel
• Experience with ERP systems (e.g., SAP, Oracle)
• Fluent in English
• High attention to detail and commitment to data accuracy