Pricing Strategy Analyst

Group O•Remote, TX

1d•$140,000 - $165,000•Remote

About The Position

The Pricing Strategy Analyst is part of the Pricing Center of Excellence and supports core pricing strategy across the company’s product portfolio. The role focuses on acquisition and base pricing, annual price increases, fee changes, alternative pricing models, and the development of business cases used to evaluate pricing options and financial impact. The ideal candidate brings strong financial acumen, analytical capability, structured problem solving, and comfort working through ambiguity. Direct pricing experience is helpful but not mandatory; candidates with strong strategy and financial analytics backgrounds are encouraged. Advanced Excel, financial modeling, and PowerPoint are more important than SQL, Python, Power BI, or Tableau, which are differentiators rather than core requirements.

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 to perform the role.
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.
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, with the ability to simplify complex analyses and clearly articulate recommendations.
Strong analytical thinking, financial acumen, structured problem-solving, and the ability to work effectively through ambiguity.

Nice To Haves

MBA is a plus.
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.
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) to accelerate analysis and routine tasks; willingness and ability to learn new AI-enabled workflows quickly is important.
Ability to manage multiple initiatives while working independently in a collaborative environment.

Responsibilities

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 new 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.
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.