Pricing Strategy Analyst

Department: Business Analytics

Employment Type: Full Time

Location: Remote, Texas, Remote - United States, Remote

Job 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.

• Full time
• Approximately 12 months planned, with potential extension

• Remote within the U.S.; U.S. time zones. Weekend work is uncommon and may be needed only occasionally.

Job Qualifications

• Bachelors degree in Business, Economics, Finance, Analytics, Marketing, Data Science, or a related field.

• MBA is a plus.

• 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.

• 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.

• 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.

• 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.