Job Description

Job Description

About BioLife Plasma Services

BioLife Plasma Services, a subsidiary of Takeda Pharmaceutical Company Ltd., is an industry leader in the collection of high-quality plasma that 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 230+ state-of-the-art plasma donation centers across the United States. Our employees are committed to improving the quality of life for patients and ensuring that the donation process is safe, easy, and rewarding for donors who want to make a difference.

When you work at BioLife, you'll feel good knowing 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 located out of Bannockburn, IL.

Objectives/Purpose

As a Business Analytics Lead on the Forecasting, Pricing, and Analytics (FPA) team, you will play a pivotal role in driving the strategic development and execution of initiatives that optimize our company's data and analytics capabilities. You will develop and implement analytics solutions that support plasma volume growth, business outcome predictability, and cost management through improving how we use data, both through data analysis, building/modifying reporting dashboards, improving knowledge management, and creating statistical model prototypes. This role is critically important for the success of the FPA team and reports to the Global Head of Forecasting, Pricing, and Analytics at BioLife, which is within the Plasma-Derived Therapies PDT) business unit at Takeda.

Accountabilities

Strategic Leadership

• Improve measurement of business performance through focus on the right metrics, improving metric accuracy, and proposing & creating statistical models to better understand complex dynamics.
• Identify and help implement best practices, create and maintain documentation, improve processes, and advance knowledge management across the Forecasting, Pricing, and Analytics (FPA) team.
• Ability to proactively identify and quantify risks & gaps in ongoing business processes.
• Drive continuous improvement initiatives to achieve cost savings and efficiency gains.
• Work with partners, vendors, and consultants on cross-functional projects, which can include developing solution functional requirements, feature prioritization, and aspects of data management/governance.

Metrics and Reporting

• Identify, develop, and maintain key performance indicators (KPIs) to track and measure projects.
• Partner with the Data, Digital, and Technology (DD&T) Team to ensure data accuracy, data integrity, and that good data governance practices are in place.
• Develop solutions (dashboards, data visualizations, reports) for real-time operations performance assessment and agile decision-making

Applied Data Science

• Hands-on model execution, output management, and communicating results clearly and succinctly.
• Partner with the Data, Digital, and Technology (DD&T) Data Science team and consultants to develop and improve on existing analytical models.
• Complete analytics analyses, which can include descriptive analyses and/or predictive modeling.
• Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business.

Collaboration and Adaptability

• Build strong relationships with cross-functional partners for efficient alignment, coordination, and information sharing across teams.

Dimensions and Aspects

Technical/Functional Expertise

• Extensive experience in data analysis, data management, and statistical modeling.
• Expert in SQL, Python, and R for data analysis and model development.
• Strong analytical skills with a solid foundation in many of the following statistical and AI/ML methods: regression analysis (continuous, categorical, survival, time-series, and count models, etc.); classification (CART, SVM, Neural Networks, etc.), clustering (k-means/medoid, hierarchical, self-organizing maps, etc.), and other AI/ML techniques; experimental design; and forecasting/sensitivity analysis.
• Comfortable working daily in cloud-based data platforms.
• Expert level MS Excel skills, including advanced functions (e.g., Solver), data analysis, pivot tables, macros, and VBA (Visual Basic for Applications), and applicability of these features for developing and managing financial models for business case development and forecasting.
• Experience working with Power BI, Tableau, or other data visualization software.

Communication

• Excellent verbal and written communication. Proven data analysis background with the ability to transform analysis into insights, recommendations, and proposals for senior management.
• Ability to communicate complex concepts simply and succinctly.

Decision-making and Autonomy

• High self-reliance, self-efficacy, initiative, and learning agility.
• Strong at both structured and unstructured problem solving.

Interaction

• Manage and/or partner on projects with vendors and consultants.

Education, Behavioural Competencies and Skills:

Required

• Advanced degree in any area of social science, statistics, management science, engineering, computer science, or a closely related field; or an undergraduate degree in one of these areas plus relevant work experience.
• Experience with data analytics from end-to-end, i.e., including ideation, proposal creation, getting stakeholder buy-in, designing analytics models/solutions, building prototypes, and working with IT/Data Science teams to deploy and scale solutions.
• 10+ years of experience in advanced analytics and modeling in the areas of business performance analysis, forecasting, pricing, optimization, and/or consumer behavior.
• Excellent verbal and written communication and presentation skills. Able to communicate effectively at all levels of the organization, including senior leadership.
• Bring a growth mindset, curiosity, positivity, intuitive thinking, and a passion for excellence.

Preferred

• Healthcare or Plasma Industry-related experience is a plus.
• Management consulting experience is a plus.
• Past experience in forecasting and/or pricing.

Additional Information

• Domestic travel required (up to 10%).

BioLife Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location: Bannockburn, IL

U.S. Base Salary Range: $153,600.00 - $241,340.00

The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

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