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Takeda

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.

Manager, Pricing Strategy & Analytics

Pricing AnalystPricing AnalystOtherRemoteTeam 10,001

Location

United States

Posted

86 days ago

Salary

0

Job Description

Manager, Pricing Strategy & Analytics

Takeda

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. 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.

Job Requirements

  • 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.
  • 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.

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