Pricing Strategy Analyst

About the role

The Pricing Strategy Analyst sits in the Pricing Center of Excellence and supports core pricing strategy across the company's product portfolio. The role covers acquisition and base pricing, annual price increases, fee changes, alternative pricing models and the business cases used to evaluate pricing options and their financial impact. It is a full-time position, remote within the U.S. time zones, planned for about 12 months with possible extension.

Key responsibilities

• Build strategic business cases for new products, pricing initiatives, promotional offers and customer acquisition strategies.
• Support core pricing decisions and evaluate alternative pricing models.
• Analyze pricing performance, promotional effectiveness and competitive positioning across products and customer segments.
• Build financial models and run scenario analysis to forecast business impact and estimate ROI.
• Support pricing tests, experiments and optimization, including test design, measurement frameworks and post-launch analysis.
• Develop dashboards, reports and executive presentations, and partner with Product, Marketing, Finance, Sales and Analytics teams.
• Evaluate customer behavior, pricing elasticity and acquisition trends.
• Use AI tools such as ChatGPT and Microsoft Copilot to speed up research, analysis and content creation.

Required profile

• Bachelor's degree in Business, Economics, Finance, Analytics, Marketing, Data Science or a related field; MBA is a plus.
• Typically 3-6 years of experience in pricing, strategy, business analysis, consulting, financial analysis, product strategy or analytics; the hiring team is flexible based on demonstrated ability.
• Experience building business cases, financial models and executive presentations, and supporting pricing, acquisition or commercial strategy initiatives.
• Preferred: pricing experimentation, elasticity analysis, customer segmentation, promotional analysis, revenue optimization, and experience in subscription, media, telecom, technology or consumer services.

Required skills

• Advanced Excel, including financial modeling, forecasting and scenario analysis.
• Strong PowerPoint and executive presentation skills.
• Preferred: SQL, Python, Power BI and Tableau; familiarity with AI productivity tools.

Salary: $140,000 - $165,000 per year.