Sr. Business Analyst

Thermo Fisher ScientificDurham, NC
1dOnsite

About The Position

Thermo Fisher Scientific is seeking a Senior Business Analyst to support our global business across Commercial Operations, Finance, Accounting, R&D, Product, and Professional Services. In this role, you will partner closely with Finance and business leaders to drive performance through KPI management, forecasting support, business planning, and data-driven insights. You will also leverage AI-enabled analytics, automation, and advanced tools to improve efficiency, optimize decision-making, and scale insights across the organization. This role plays an important part in enabling data-informed decisions that support our Mission—to enable our customers to make the world healthier, cleaner, and safer.

Requirements

  • 5+ years of experience in business analysis, analytics, FP&A, or a related role
  • Strong experience working with enterprise data models and ERP systems
  • Hands-on experience with platforms such as Salesforce, SAP, Power BI, Navision, or similar enterprise tools
  • Demonstrated ability to analyze large datasets and deliver executive-level insights
  • Experience partnering with Finance, Accounting and business leaders in a global, matrixed environment
  • Excellent communication and stakeholder management skills

Responsibilities

  • Develop, manage, and enhance KPIs, dashboards, and performance reporting using Power BI, enterprise data sources, and other data systems
  • Partner with Finance to support functional and business forecasting, financial target setting, functional target setting and planning cycles.
  • Parter with Accounting to support timely global deal processing, recognition and flow across commercial/finance systems
  • Analyze forecast variances, performance drivers, and trends, providing clear insights and recommendations
  • Prepare executive-ready analytics and insights to support MBRs, QBRs, and other leadership reviews
  • Analyze large, complex datasets from ERP and CRM systems to identify risks, opportunities, and optimization areas
  • Leverage AI, automation, and advanced analytics to streamline reporting, improve forecasting accuracy, and increase analytical efficiency
  • Translate complex data into clear, actionable insights for senior business stakeholders
  • Collaborate with global, cross-functional teams to support strategic and operational initiatives
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