Financial Analyst III

at  Thermo Fisher Scientific

EDUCATION

• Bachelor’s degree in Accounting, Finance, Economics, or Business-related field required

EXPERIENCE

• Background in Finance, preferably in a complex manufacturing industry
• Understanding of Manufacturing, S&OP, inventory control and logistics flows.
• Comfortable to work with and bring structure to different sets of data
• Experience with Business Intelligence tools and consolidation systems is preferred

KNOWLEDGE, SKILLS, ABILITIES

• Proficient user of systems (i.e. QAD, Hyperion, Hyperion planning, Power BI, Cognos, excel, PowerPoint, etc.)
• Effective verbal and written communication skills, able to summarize and present information in a concise and effective manner.
• Attention to detail and consistently delivering high quality work. Ability to learn quickly, meet deadlines and multi-task in deadline driven environment.
• Good understanding of business processes and operations & financial controls, able to identify control weaknesses in existing process and recommend mitigation actions.
• Self-motivated, higher level of flexibility and strong work ethic with the goal to get the job done.
• Ability to be agile and proactive in order to anticipate and react on future adaptations.

TRAVEL REQUIREMENTS

• < 10% domestic/international travel required

• Analyze transactional / operational data, identify anomalies, calculate and book accruals / reversals to ensure accurate reporting.
• Develop, standardize, and improve regular analyses and reports to share business and financial insights, and support monthly /quarterly /annual forecasting and budgeting process (i.e. support MBR, QBR, AOP, etc.).
• Build and update dashboards, PowerPoint and other business intelligence tools by data-mining in various systems.
• Independently investigate data issues and/or information given, ask pertinent questions and identify root causes, 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, independently conduct ad hoc data analysis to identify business insights and observations.
• Translate business inputs into financial assumptions, build and maintain forecast models to project future business trends, results, etc. covering areas of operations.
• Proactively learn and adopt new systems and tools to improve analytics capability and accuracy
  How you will get here: