Pricing Strategy Analyst

JobgetherPricing strategy

Fully remote within the U.S., U.S. time zonesContractMiddle

Salary140,000 - 165,000 USD per year

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Job Details

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.
Experience developing financial models, business cases, forecasts, scenario analyses, and executive-level presentations.
Experience supporting pricing, customer acquisition, product, or commercial strategy initiatives.
Advanced Excel skills, including financial modeling, forecasting, and scenario analysis.
Strong PowerPoint and presentation skills, including communicating complex analyses and recommendations to senior stakeholders.
Strong analytical thinking, structured problem-solving, financial reasoning, and business judgment.
Ability to navigate ambiguity, manage multiple initiatives, and collaborate across functions.
Ability to work independently in a remote environment while maintaining cross-functional relationships.
Preferred: experience with pricing experiments, price elasticity, customer segmentation, promotional analysis, or revenue optimization.
Preferred: familiarity with SQL, Python, Power BI, Tableau, ChatGPT, or Microsoft Copilot.

Develop business cases for new products, pricing initiatives, promotional offers, and customer acquisition strategies.
Support acquisition pricing, base pricing, annual price increases, fee adjustments, and alternative pricing models.
Build financial models and conduct scenario analyses to evaluate market opportunities, forecast outcomes, and estimate return on investment.
Analyze pricing performance, promotional effectiveness, competitive positioning, customer behavior, and acquisition trends.
Design pricing experiments, including test planning, measurement frameworks, post-launch analysis, and optimization recommendations.
Develop dashboards, recurring reports, and monitoring tools for pricing, revenue, margin, and customer metrics.
Prepare executive presentations and visualizations that translate complex findings into actionable recommendations.
Collaborate with Product, Marketing, Finance, Sales, and Analytics teams to define requirements and prioritize initiatives.
Use AI productivity tools, including ChatGPT and Microsoft Copilot, to accelerate research and analysis and improve workflows.

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