Senior Business Analyst- Life Science Industry

FUJIFILM America is a leader in the life sciences sector, seeking a Senior Business Analyst to provide analytical support to their Commercial organization. The role involves identifying business problems and leading analytical initiatives to 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