Manager, Data Analytics

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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. Since plasma can’t be made synthetically, many people rely on plasma donors to live healthier, happier lives. Bio Life 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 Bio Life, 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 “hybrid” in accordance with Takeda’s Hybrid and Remote Work policy and will be based out of Bannockburn, IL.

The Data Analytics Manager plays a key role in supporting Bio Life’s pricing strategy by combining strong analytical capability with business insight. This role is responsible for performing advanced data and financial analysis, translating trends into actionable recommendations, automating recurring processes, and supporting the development and optimization of pricing strategies that drive volume growth and improve cost efficiency. The position partners closely with Operations, IT, and Data Science teams to execute pricing experiments, evaluate outcomes, and deliver timely, business-ready insights.

• Apply advanced analytics to diverse business scenarios, synthesizing complex information into clear, executive-ready insights and visualizations.
• Bring automation in day to day process to get quicker insights into business trends.
• Build ML and statistical models to understand donor patterns and forecast cost metrics.
• Link analytical findings to business and donor behavior dynamics to explain drivers behind trends and performance shifts.
• Conduct rapid-turnaround analysis and deliver recommendations under tight time frames.
• Build and maintain forecasting models to project volume, cost-efficiency metrics, and donor behavior trends, enabling more accurate weekly and monthly planning.

• Support the design, execution, and evaluation of experiments, including A/B tests, optimization pilots,
• Build robust process to improve efficiency in creating weekly business insights.
• Partner with Data Science to operationalize models, ensure scalability, and validate performance metrics.
• Monitor market movement to inform pricing strategy decisions.

• Proficiency in Python, PySpark, SQL, and BI tools (Power BI or Tableau).
• Advanced Excel skills for rapid diagnostics, modeling, and QA.
• Understanding of forecasting, experimentation, and causal inference methodologies.

• Demonstrated ability to rapidly analyze complex data and identify actionable insights.
• Thrives in ambiguity and fast-evolving business environments.
• Strong sense of ownership, delivery orientation, and attention to detail.

• Bachelor's degree in Computer science, Engineering, Finance, Marketing, Business, or an equivalent;
  Strong academic track record from a reputable institution; master’s degree preferred.
• 5+ years of experience in analytics, data science, pricing, forecasting, or strategy roles with measurable business impact
• Ability to connect data insights to business context and clearly…