Senior Business Analyst- Life Science Industry

FUJIFILM Biosciences is a leader in the life sciences industry, dedicated to advancing health through innovative solutions. The Senior Business Analyst will provide analytical support to the Commercial organization, leading initiatives that deliver actionable insights for data-driven decision-making.

Responsibilities:

• Design, develop, and maintain interactive dashboards and reports using Power BI
• Create clear and compelling data visualizations that communicate key metrics, trends, and business performance
• Optimize dashboards for performance, usability, and scalability
• Maintain and enhance dashboards as business requirements evolve
• Incorporate forecasting results, trends, and key drivers into dashboards to support proactive decision-making
• Data Modeling, Analytics & Integration
• Build, manage, and optimize data models using Power BI (DAX, Power Query)
• Create and maintain relationships between data sources while ensuring accuracy and integrity
• Develop complex calculations, measures, and KPIs using DAX
• Connect Power BI to multiple data sources (e.g., SQL Server, Excel, APIs, cloud platform)
• Transform, cleanse, and prepare data using Power Query (M language)
• Perform exploratory data analysis to identify patterns, anomalies, and trends
• Develop and maintain analytical and predictive models to support forecasting scenario analysis, and performance optimization
• Apply statistical and analytical techniques to identify business drivers, risks, and opportunities
• Design and implement predictive analytics and forecasting models to support commercial planning and strategic initiatives
• Translate business questions into analytical frameworks and models
• Partner with stakeholders to define use cases for advanced analytics and data science solutions
• Validate analytical models and ensure results are interpretable, accurate, and actionable
• Embed advanced analytics outputs into reporting and visualization solutions for broader adoption
• Own and manage the molecule mapping process, ensuring accurate and timely capture of molecule-related data in partnership with Sales
• Develop and maintain reporting and dashboards that provide visibility into molecule pipeline, sales activity, and performance
• Partner with Sales and Commercial stakeholders to ensure data completeness, accuracy, and adoption of molecule capture processes
• Monitor data quality and resolve gaps impacting molecule-related analytics and reporting
• Document data sources, transformations, business logic, and data models
• Prepare and maintain user guides and training documentation for stakeholders and end users
• Provide ad hoc and scheduled analytical report as required
• Work closely with business stakeholders to gather, understand, and translate reporting and analytical requirements
• Collaborate with IT team and other analysts to support scalable analytics solutions
• Present insights, findings, and recommendations to both technical and non-technical audiences
• Act as a trusted analytics partner to support data-driven decision-making
• Stay current with Power BI enhancements, analytic tools, and industry best practices
• Recommend improvements to reporting, analytics processes, and data models
• Conduct performance tuning and optimization of data models, reports, and visualizations
• Contribute to the ongoing maturity of analytics and data science capabilities across the organization

Requirements:

• Bachelor's degree in Business Analytics, Data Science, Statistics, Mathematics, Computer Science, or a related field
• 5+ years of experience in analytics, business intelligence, or data-focused
• Advanced expertise in Power BI, including data modeling, DAX, Power Query, and dashboard design
• Proficiency in SQL for data extraction and transformation
• Demonstrated ability to translate complex analytics outputs into actionable business insights
• Must be fluent in the English language to interact with stakeholders
• Life sciences experience highly preferred
• Preferred experience with predictive modeling, forecasting, or machine learning techniques (e.g., regression, time-series analysis, classification)
• Preferred experience with using Python or R for data analysis and modeling
• Preferred familiarity with cloud data platforms and modern analytics architectures
• Preferred experience applying advanced analytics in commercial, sales, marketing, or life sciences context
• Preferred ability to influence stakeholders and drive adoption of advanced analytics solutions