Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
How will you make an impact?
We are seeking a Senior Business Analyst to join our Automation, AI, & Data organization as part of the Data Product Solutions team. In this role, you will play a critical part in supporting finance, commercial, and marketing teams through sophisticated data analysis and strategic insight generation. Maximising your expertise in databases, statistical methods, cloud technologies, and CRM/ERP systems, you will help drive data-informed decision-making for revenue forecasting, market segmentation, and Annual Operating Plan (AOP) development. By partnering closely with multi-functional teams, you will deliver impactful insights that directly influence revenue growth and commercial strategy.
Responsibilities
Analyze and interpret complex data sets related to revenue, commercial performance, and marketing to deliver clear, actionable business insights.
Collaborate with multi-functional teams to gather requirements and translate business needs into scalable technical solutions.
Lead Annual Operating Plan (AOP) development by supporting revenue forecasting, trend analysis, and market segmentation.
Design, develop, and optimize ETL processes to ensure accurate, efficient, and reliable data integration across systems.
Develop and maintain dashboards, reports, and visualizations using tools like Power BI to effectively communicate critical metrics and trends to partners.
Experience
5+ years of experience as a data analyst, preferably in roles supporting strategic accounts, finance, or commercial operations
Demonstrable ability to lead data projects end-to-end-from requirements gathering through execution and delivery-ensuring alignment with business objectives and timelines
Solid understanding of agile methodologies to support iterative development and continuous improvement of data solutions
Solid understanding of finance and commercial domains, including relevant business systems (ERP, CRM) and the data they generate
Strong proficiency in SQL for advanced data querying, analysis, and optimization
Experience designing ETL processes and working with large datasets in data warehouse environments
Familiarity with cloud-based data platforms, particularly AWS, Azure, and Databricks
Competence in statistical analysis techniques such as regression, hypothesis testing, and forecasting for deriving actionable insights
Hands-on experience with data visualization tools, including Power BI, Tableau, or similar platforms
Awareness of large language models (LLMs) and their practical applications, with the ability to find opportunities to integrate AI into data-driven solutions
Education
Bachelor's degree in a technical field such as Computer Science, Business Analytics, Information Systems, or a related field required
Master's degree preferred
Compensation and Benefits
The salary range estimated for this position based in Massachusetts is $103,100.00-$154,700.00.
This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
A choice of national medical and dental plans, and a national vision plan, including health incentive programs
Employee assistance and family support programs, including commuter benefits and tuition reimbursement
At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
Employees' Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.