Pricing Strategy Analyst

The Pricing Strategy Analyst will help shape pricing decisions and commercial strategies across a diverse product portfolio. Working within a Pricing Center of Excellence, you will develop financial models, evaluate pricing opportunities, and build business cases that support profitable growth and customer acquisition. You will analyze pricing performance, promotional effectiveness, customer behavior, and competitive positioning to identify opportunities for optimization. Partnering with Product, Marketing, Finance, Sales, and Analytics teams, you will translate complex data into actionable recommendations for business leaders. This role combines strategic thinking, financial analysis, and executive communication in a fast-paced, data-driven environment. It is an excellent opportunity for an analytical professional who enjoys solving ambiguous business challenges and influencing decisions through rigorous financial modeling. The position is fully remote within U.S. time zones, with an initial planned duration of approximately 12 months and potential for extension.

The ideal candidate combines strong financial acumen, advanced analytical skills, and business judgment with the ability to communicate insights effectively and navigate complex, evolving priorities.

• 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. Candidates will be considered flexibly based on demonstrated skills and ability to perform the role.

• Experience developing financial models, business cases, forecasts, scenario analyses, and executive-level presentations.

• Experience supporting pricing, customer acquisition, product, or commercial strategy initiatives.

• Strong business acumen and the ability to translate analytical findings into practical strategic recommendations.

• Advanced Excel skills, including financial modeling, forecasting, and scenario analysis.

• Strong PowerPoint and presentation skills, with the ability to simplify complex analyses and communicate recommendations clearly to senior stakeholders.

• Excellent analytical thinking, structured problem-solving, and financial reasoning skills.

• Ability to work effectively with ambiguity, manage multiple initiatives, and collaborate across functions in a fast-paced, data-driven organization.

• Ability to work independently in a remote environment while maintaining strong cross-functional relationships.

• An MBA or other relevant advanced qualification.

• Experience with pricing experimentation, price elasticity analysis, customer segmentation, promotional analysis, or revenue optimization.

• Experience in subscription-based, media, telecommunications, technology, consumer services, or other recurring-revenue businesses.

• Familiarity with SQL for data extraction and analysis; this is an advantage rather than a core requirement.

• Experience using Python for data analysis and automation; advanced coding capabilities are a plus but not essential.

• Experience building dashboards and executive reporting in Power BI and/or Tableau.

• Familiarity with AI productivity tools such as ChatGPT and Microsoft Copilot, including effective prompting and using AI to accelerate analytical work.

• Willingness and ability to learn new AI-enabled workflows and emerging analytical tools quickly.