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Role Description

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

• Focus on understanding how pricing and incentives influence donor behavior.
• Evaluate experiments and translate insights into clear pricing recommendations.
• Manage backend pricing configurations and ensure timely execution of pricing updates through close collaboration with Operations, IT, and Data teams.
• Ideal candidates have experience in marketplace pricing, retail or e-commerce pricing, promotions optimization, revenue management, or consulting analytics.
• 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 & 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.

Qualifications

• Demonstrated experience working in pricing or revenue management environments where pricing decisions directly influence demand, customer behavior, or incentive structures (e.g., 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 explain underlying drivers.
• Action-oriented mindset with the ability to deliver high-quality outputs under tight timelines.

Requirements

• 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.

Benefits

• U.S. Base Salary Range: $111,800.00 - $175,670.00.
• Eligibility for short-term and/or long-term incentives.
• Participation in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and a tuition reimbursement program.
• Paid volunteer time off, company holidays, and well-being benefits.
• Up to 80 hours of sick time per calendar year.
• New hires are eligible to accrue up to 120 hours of paid vacation.

Who You Are

• You enjoy solving complex pricing and demand problems using data and analytical thinking.
• You are curious about how incentives, pricing changes, and promotions influence customer or donor behavior.
• You take ownership of outcomes, ensuring analytical insights translate into timely and accurate execution of pricing strategies.