Pricing Strategy Analyst

• Fully Remote
• This role sits at the intersection of business strategy, analytics, and emerging AI technologies - helping leadership make smarter, faster, and more informed decisions through data-driven business cases and financial insights.

• The Pricing Strategy Analyst will play a critical role in developing pricing strategies, evaluating new business opportunities, and supporting executive decision-making across a growing portfolio of products and services. This role blends business strategy, financial modeling, data analytics, and AI-assisted productivity to help identify opportunities that drive customer acquisition, revenue growth, and long-term enterprise value.
• The ideal candidate is equally comfortable building business cases, analyzing large datasets, creating executive-ready presentations, and leveraging modern AI tools to accelerate research, analysis, and decision-making. You'll partner closely with Marketing, Finance, Analytics, Operations, Product and Sales teams to evaluate pricing opportunities, optimize offers, and deliver strategic recommendations supported by data.

• Develop strategic business cases supporting new products, pricing initiatives, promotional offers, and customer acquisition strategies.
• 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.
• Utilize SQL, Python, Power BI, Tableau, Excel, and existing reporting assets to gather, analyze, and visualize business performance data.
• 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.
• Leverage AI tools such as ChatGPT, Microsoft Copilot, and similar technologies to improve research, automate analysis, accelerate content development, and increase productivity.
• 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.
• Continuously identify opportunities to improve reporting processes, analytical workflows, and business decision-making capabilities.

• Bachelor's degree in Business, Economics, Finance, Analytics, Marketing, Data Science, or related field preferred.
• MBA is a plus.

• 3–6 years of experience in pricing, strategy, business analysis, consulting, financial analysis, product strategy, or analytics.
• 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.
• Excellent communication and presentation skills with the ability to simplify complex analyses for executive audiences.
• Strong analytical thinking, curiosity, and problem-solving capabilities.

• Strong SQL skills for data extraction and analysis.
• Experience with Python for data analysis and automation.
• Experience using Power BI and/or Tableau to build dashboards and executive reporting.
• Strong analytical thinking, curiosity, and problem-solving capabilities. xhyhwjd
• Experience leveraging AI productivity tools such as ChatGPT, Microsoft Copilot, or similar technologies within a business environment to improve analysis, forecasting, pricing optimization, or business processes.
• Ability to manage multiple initiatives while working independently in a collaborative environment

• $70-80/hr W2

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