Senior Business Analyst, Data Product Solutions

Work Schedule Standard (Mon-Fri) Environmental Conditions Office 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 Apply Job! Apply to this Job