Financial Analyst II

Thermo Fisher Scientific•Pittsburgh, PA
•Onsite

About The Position

The Financial Analyst II will be an integral member of Thermo Fisher Scientific’s Research & Safety Division (RSD) Divisional Finance team, supporting near- and long-term financial objectives. RSD is part of the Customer Channels Group and serves biotech, pharmaceutical, academic, government, and industrial customers. The role covers FP&A planning, analysis, and reporting to help execute financial goals and initiatives in a growing organization. The position follows a standard Monday–Friday schedule in an office environment and requires 0–10% domestic or international travel.

Requirements

  • Bachelor’s degree.
  • 0–3 years of financial planning and analysis experience in a large global company and highly matrixed organization.
  • Proficiency with systems such as SAP, Hyperion, Hyperion Planning, Power BI, Cognos, Excel, and PowerPoint.
  • Effective verbal and written communication skills, including the ability to summarize and present information concisely and effectively.
  • Attention to detail and consistent delivery of high-quality work.
  • Ability to learn quickly, meet deadlines, and multitask in a deadline-driven environment.
  • Good understanding of business processes, operations, and financial controls, with the ability to identify control weaknesses and recommend mitigation actions.

Responsibilities

  • Analyze transactional and operational data, identify anomalies, and recommend accruals or reversals to ensure accurate reporting.
  • Develop, standardize, and improve recurring analyses and reports that communicate business and financial insights and support monthly, quarterly, and annual forecasting and budgeting, including MBR, QBR, and AOP.
  • Build and update dashboards, PowerPoint presentations, and other business intelligence tools using data mined from various systems.
  • Independently investigate data issues and information, ask relevant questions, identify root causes, and collaborate with functional business partners and system support to improve data quality.
  • Collaborate with business partners to generate key assumptions and drivers for decision support, and conduct ad hoc data analyses to identify business insights and observations.
  • Analyze product and service profitability and identify P&L drivers, including manufacturing and SIOP, to identify risks and opportunities and drive actions.
  • Translate business inputs into financial assumptions and build and maintain forecast models to project future business trends and results, including revenue, new product launches, pricing, operating expenses, and CAPEX.
  • Learn and adopt new systems and tools to improve analytics capability and accuracy.
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