Thermo Fisher Scientific is seeking a Senior Analyst for Financial Data Analytics to join their BioProduction Group in Massachusetts. The role focuses on driving accuracy in financial reporting, developing Business Intelligence solutions, and supporting data analytics initiatives to enhance business growth
Job Summary
The Sr. Financial Analyst, Data Analytics will drive integrity, accuracy, and consistency for financial reporting.
This role will lead and support various Finance data initiatives to help drive forward growth and profitability of the business.
We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on.
Matching Summary
Match Score: 85
Thermo Fisher Scientific is seeking a Senior Analyst for Financial Data Analytics to join their BioProduction Group in Massachusetts. The role focuses on driving accuracy in financial reporting, developing Business Intelligence solutions, and supporting data analytics initiatives to enhance business growth.
Salary
Base: $103,100.00–$154,700.00; Bonus/Equity: Variable annual bonus based on performance; Benefits: Comprehensive Total Rewards package
Skills & Requirements
Must-have
develop Business Intelligence solutions
create data visualization tools
automation of reports
enhance data collection
optimize analytics processes
apply analytics tools
generate actionable insights
improve decision-making efficiency
address business challenges
drive integrity, accuracy, and consistency for financial reporting
Nice-to-have
stay updated with latest industry trends
understand business processes
identify reoccurring business challenges
propose data-driven solutions
independent problem solver
continuously improving operations
accept challenges in evolving environment
excellent judgment
creative problem-solving skills
effectively communicate with senior management
Key Requirements
Degree in finance, mathematics, data science, or business-related subject
3+ years of work experience in data analytics, business intelligence, finance, or commercial analytics
Proficiency in Excel, SQL, and Power BI
Python or R experience preferred
Strong analytical and problem-solving skills
Experience building in-depth relational databases/financial models
Demonstrated experience in a large, multinational, heavily matrixed organization