Senior Business Analyst; Remote

Position: Senior Business Analyst (Remote)
Location: Boston

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Job Description About Bio Life Plasma Services Bio Life Plasma Services, a subsidiary of Takeda Pharmaceutical Company Limited, is an industry leader in the collection of high-quality plasma, which is processed into life-saving plasma-based therapies. Some diseases can only be treated with medicines made with plasma. Our employees are dedicated to enhancing the quality of life for patients and ensuring that the donation process is safe, straightforward, and rewarding for donors who wish to make a positive impact.

When you work at Bio Life, you’ll feel good knowing that what we do helps improve the lives of patients with rare diseases. This position is currently classified as “Remote/Virtual” in accordance with Takeda’s Hybrid and Remote Work policy. OBJECTIVES/PURPOSE The Bio Life Forecasting, Pricing & Analytics (FPA) team within the Plasma-Derived Therapies (PDT) business unit at Takeda is seeking a Senior Pricing Analyst.

This role is critical for the FPA team, as it combines technical expertise with strategic insight to inform business financial decisions. You will have the autonomy to own analyses end-to-end, from source data to strategic recommendations, and the opportunity to engage with senior leadership and cross-functional teams, driving data-based decision-making across the organization. It reports to the Associate Director, Pricing, and Business AI Lead OUNTABILITIES Data Analysis & Decision-Making:
Leverage strong analytical and quantitative skills to connect raw data across sources, uncover patterns, and deliver insights that directly shape business decisions. Performance Analytics :
Assess pricing performance to identify key drivers, risks, and opportunities across centers, fee levels, and donor groups. Contribute to pricing and forecasting projects through advanced data analysis, process automation, A/B testing, and the creation of clear, actionable visualizations. Translate complex data challenges into machine learning models (e.g., supervised learning, unsupervised learning, predictive retention, segmentation, elasticity) that enhance business operations and plasma donor insights.

Experimentation & Standards :
Own the experimentation lifecycle from design to analysis, validating opportunities and scaling winning strategies. Elevate team capabilities by setting best practices in analytics, code quality, and data storytelling. Proven hands-on experience with PySpark, Python, SQL, and BI tools (Power BI or Tableau), with advanced Excel skills for rapid analysis. Demonstrated ability to proactively identify new opportunities, design models/experiments, and deliver insights that drive measurable business improvements.

Agile execution :
Ability to distill complex technical findings into clear business narratives. Required Bachelor's degree in Economics, Statistics, Computer Science, Engineering, Data Science, or a quantitative field required;
Strong foundation in statistics and experimentation - hypothesis testing, regression, causal inference, experimental design, and power calculations. Who You Are A critical thinker who thrives on solving ambiguous problems through rigorous analysis and experimentation. Data-driven, with a passion for uncovering trends, root causes, and actionable insights. Business-minded, able to partner effectively with leadership and product owners to shape strategic decisions.

ADDITIONAL INFORMATION Domestic travel required (up to 10%). For

Location:

USA - IL - Bannockburn - Virtual U.The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. S. based employees may be eligible for short-term and/or long-term incentives. S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term…