Pricing Strategy Analyst

Overview

This role is within the Business Analytics department. The organization is seeking a Pricing Strategy Analyst to support core pricing strategy across its product portfolio. Work focuses on acquisition and base pricing, annual price increases, fee changes, alternative pricing models, and development of business cases to evaluate pricing options and their financial impact.

Employment Type: Full Time

Location: Remote — United States (U.S. time zones). Weekend work is uncommon and may be needed only occasionally.

Compensation: $140,000 - $165,000 / year

Planned Duration: Approximately 12 months, with potential extension

Responsibilities

Essential Functions

• Develop strategic business cases supporting new products, pricing initiatives, promotional offers, and customer acquisition strategies.
• Support core pricing decisions, including acquisition pricing, base pricing, annual price increases, fee changes, and evaluation of alternative pricing models.
• Structure ambiguous business problems, analyze options, and develop clear, data-supported recommendations for leadership.
• Build financial models and conduct scenario analysis to evaluate market opportunities, forecast business impact, and estimate ROI for strategic initiatives.
• Analyze pricing performance, promotional effectiveness, and competitive positioning across products and customer segments.
• Use advanced Excel and financial modeling as primary analytical tools to build and evaluate pricing business cases; leverage SQL, Python, Power BI, Tableau, and existing reporting assets when applicable.
• Develop dashboards, reports, and executive presentations that translate complex analysis into actionable business recommendations.
• Partner cross-functionally with Product, Marketing, Finance, Sales, and Analytics teams to define business requirements and prioritize strategic initiatives.
• Support pricing tests, experiments, and optimization efforts, including test design, measurement frameworks, post-launch analysis, and recommendation development.
• Evaluate customer behavior, pricing elasticity, promotional performance, and acquisition trends to support data-driven decision making.
• Build dashboards, reports, and recurring performance views that help stakeholders monitor key pricing, revenue, margin, and customer metrics.
• Present findings and recommendations to business leaders through concise, executive-level storytelling and visualizations.

Secondary Functions

• Leverage AI tools such as ChatGPT, Microsoft Copilot, and similar technologies to improve research, automate analysis, accelerate content development, and increase productivity.
• Continuously identify opportunities to improve reporting processes, analytical workflows, and business decision-making capabilities.

Requirements

• Bachelor’s degree in Business, Economics, Finance, Analytics, Marketing, Data Science, or a related field.
• Typically 3–6 years of relevant experience in pricing, strategy, business analysis, consulting, financial analysis, product strategy, or analytics (the hiring team is flexible based on demonstrated ability).
• Experience developing business cases, financial models, and executive presentations.
• Experience supporting pricing, acquisition, product, or commercial strategy initiatives.
• Experience working cross-functionally within fast-paced, data-driven organizations.

Preferred Qualifications

• MBA.
• Experience with pricing experimentation, elasticity analysis, customer segmentation, promotional analysis, or revenue optimization.
• Experience in subscription, media, telecom, technology, consumer services, or other recurring-revenue businesses.

Skills

• Strong business acumen with the ability to connect analytical findings to strategic recommendations.
• Advanced Excel skills, including financial modeling, forecasting, and scenario analysis.
• Strong PowerPoint, communication, and executive presentation skills; ability to simplify complex analyses and clearly articulate recommendations.
• Strong analytical thinking, financial acumen, structured problem-solving, and comfort working through ambiguity.

Preferred Skills

• SQL skills for data extraction and analysis (SQL is a differentiator rather than a core requirement).
• Experience with Python for data analysis and automation (advanced technical/coding skills are a plus rather than a core requirement).
• Experience using Power BI and/or Tableau to build dashboards and executive reporting.
• Familiarity with AI productivity tools and prompting (such as ChatGPT or Microsoft Copilot); willingness and ability to learn new AI-enabled workflows quickly.
• Ability to manage multiple initiatives while working independently in a collaborative environment.

Location

Remote within the United States; must be able to work across U.S. time zones.

Compensation & Benefits

Salary: $140,000 - $165,000 / year