Manager, Pricing Strategy & Analytics

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Job Description

About BioLife Plasma Services

BioLife 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. Since plasma can’t be made synthetically, many people rely on plasma donors to live healthier, happier lives. BioLife operates 250+ state-of-the-art plasma donation centers across the United States. 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 BioLife, you’ll feel good knowing that what we do helps improve the lives of patients with rare diseases. While you focus on our donors, we’ll support you. We offer a purpose you can believe in, a team you can count on, opportunities for career growth, and a comprehensive benefits program, all in a fast-paced, friendly environment.

This position is currently classified as “virtual” in accordance with Takeda’s Hybrid and Remote Work policy and will be based out of Bannockburn, IL.

OBJECTIVES/PURPOSE

BioLife Plasma Services is seeking a Manager – Pricing Strategy and Analytics to support pricing strategy and execution across plasma donation centers. This role combines advanced analytics with operational ownership of pricing decisions.

The position focuses on understanding how pricing and incentives influence donor behavior, evaluating experiments, and translating insights into clear pricing recommendations. The role also manages backend pricing configurations and ensures timely execution of pricing updates through close collaboration with Operations, IT, and Data teams.

Candidates with experience in marketplace pricing, retail or e-commerce pricing, promotions optimization, revenue management or consulting analytics will be particularly well suited for this role.

This role focuses on applied pricing analytics and decision support rather than dashboard reporting or software development.

ACCOUNTABILITIES

• Analytics
• Analyze donor behavior, demand patterns, and cost metrics to identify pricing opportunities and recommend optimal incentive strategies.
• Evaluate pricing and promotional initiatives using structured analysis and experimentation frameworks to measure impact on donor response and cost efficiency.
• Conduct elasticity analysis and scenario modeling to understand trade offs between pricing levels, donor volume, and cost outcomes.
• Develop forecasting models to project donor behavior and pricing impact, supporting weekly and monthly planning decisions.

Strategy and Optimization

• Support the design, execution, and evaluation of experiments including A/B tests and pricing pilots to identify effective incentive structures.
• Build robust processes to improve efficiency in generating weekly business insights.
• Partner with Data Science to operationalize models, ensure scalability, and validate performance metrics.
• Own the operational execution of pricing updates by managing backend pricing configurations and ensuring pricing changes are implemented accurately and on schedule.

DIMENSIONS AND ASPECTS

Technical Expertise

• Strong data science and analytical capability with hands on experience using SQL and Python to analyze large scale datasets and generate actionable business insights.
• Experience applying pricing analytics techniques such as demand modeling, price elasticity analysis, promotion effectiveness evaluation, and forecasting.
• Comfortable working across mixed data environments including SQL, Databricks or similar platforms, and Excel .
• Strong sense of ownership, delivery orientation, and attention to detail.

EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS :

Required

• Demonstrated experience working in pricing or revenue management environments where pricing decisions directly influence demand, customer behavior, or incentive structures (for example retail pricing, e-commerce pricing, airline revenue management, or marketplace pricing).
• Bachelor’s degree in Economics, Business, Engineering, Computer Science, Statistics, Mathematics, Finance, or a related quantitative field from a reputable institution; Master’s degree preferred.
• 5+ years of experience in analytics, data science, pricing, forecasting, or strategy roles with demonstrated business impact.
• Ability to connect data insights to business context and clearly e