Manager, Finance Data & Analytics (Hybrid - NYC or Edgewood NY)

As Manager, Finance Data & Analytics, you will elevate centralized FP&A reporting and tie financial planning to business performance across ICS. You work with senior leaders in a fast-moving setting to drive transformation and build scalable data infrastructure. You will partner with IT and data science to ensure data quality and governance, delivering actionable insights that support proactive decision-making. This role offers a meaningful opportunity to shape how finance informs business strategy.

• bonus eligible
• comprehensive benefits
• paid sick leave (Colorado)
• salary range disclosed
• opportunity for career development

• Develop and automate financial reports and dashboards to improve visibility and enable proactive decisions
• Design, develop, and maintain scalable data infrastructure and financial datasets for FP&A across ICS, ensuring accuracy and accessibility
• Integrate data from ERP, CRM, financial databases, and operations to create unified datasets
• Collaborate with IT, data science, and other departments to ensure data alignment and integrity
• Establish and enforce data governance standards and best practices within finance
• Identify and implement opportunities to improve reporting processes, data workflows, and data quality
• Stay current with industry trends in data management technologies and practices

• 5+ years in finance or data management, with 2+ years in data infrastructure/dataset development
• Proficiency in SQL, Python, R; experience with SAP, Oracle; Power BI; strong financial modeling
• Ability to connect operational performance to financial outcomes and explain implications to leaders
• Excellent financial modeling and analytical skills; comfortable with large, complex data sets
• Strong communication and executive presentation skills; can distill complex issues into insights
• Ability to manage multiple priorities, navigate ambiguity, and drive work forward independently
• Proactive mindset with a drive to implement change

• strong communication
• adaptability and resilience
• initiative and self-motivation
• SQL
• Python
• R