The Commercial Pricing Analyst supports the development of competitive, profitable, and scalable commercial solutions by providing costing, pricing, financial modeling, and performance analysis. This role partners closely with internal teams (such as Sales, Finance, Operations, and Solution teams) to evaluate opportunities, develop pricing recommendations, and deliver insights that support growth and profitability objectives.

The Commercial Pricing Analyst is responsible for building and maintaining costing models, conducting profitability and scenario analyses, supporting commercial governance processes, and providing reporting and performance insights across the opportunity lifecycle. Through data-driven analysis and cross-functional collaboration, this role helps ensure commercial decisions are aligned with business goals, market conditions, and operational capabilities.

Duties and Responsibilities:

• Partner with finance to build and maintain costing models that support client solutions, pricing strategies, and commercial opportunities.
• Translate business assumptions into cost structures, including resource, delivery, technology, and operational costs.
• Conduct financial modeling and scenario analysis to assess profitability, risks, and optimization opportunities.
• Partner with Sales, Growth, and Solution teams to support pricing and commercial strategy for new opportunities.
• Partner with finance to evaluate financial trade-offs, client requirements, and delivery approaches to support decision-making.
• Develop pricing recommendations that balance profitability, competitiveness, and growth objectives.
• Maintain pricing benchmarks and commercial assumptions using market, client, and historical performance data.
• Analyze pricing effectiveness, margin trends, and cost-to-serve metrics.
• Recommend improvements to pricing accuracy and commercial decision-making.
• Support deal reviews by validating pricing, profitability, and commercial assumptions.
• Assist in maintaining pricing standards, approval processes, and margin controls.
• Partner with Finance and Delivery teams to ensure commercial models align with operational realities.
• Identify opportunities to improve the efficiency, consistency, and scalability of costing and pricing processes.
• Standardize tools, methodologies, and workflows to improve accuracy and speed.
• Support cross-functional initiatives that streamline commercial operations.
• Analyze deal, pricing, margin, and portfolio performance to identify trends, risks, and growth opportunities.
• Compare actual results against commercial assumptions and recommend improvements.
• Support renewal, retention, and expansion analyses through data-driven insights.
• Support revenue, bookings, and margin planning activities.
• Develop reporting and dashboards on deal performance, pricing trends, profitability, and compliance.
• Translate commercial and financial data into actionable recommendations for business leaders.

 

Position Requirement

Education:

• Bachelor's degree in Finance, Accounting, Economics, Business Administration, Statistics, Mathematics, Data Analytics, or a related field preferred.
• Equivalent combination of education and relevant experience may be considered.
• Advanced coursework or certifications in financial modeling, pricing, analytics, or business intelligence preferred.

Experience:

• 3–5 years of experience in commercial analysis, pricing, financial planning & analysis (FP&A), revenue operations, sales operations, business analytics, or related functions.
• Experience developing financial models, business cases, costing frameworks, or pricing analyses.
• Experience supporting cross-functional stakeholders including Sales, Finance, Operations, and business leaders.
• Experience using data to support business decisions and drive commercial outcomes.

Exposure:

• Pricing strategy and profitability analysis.
• Deal desk or commercial approval processes.
• Revenue, margin, and performance analytics.
• Scenario modeling and forecasting.
• CRM, reporting, and business intelligence tools (e.g., Salesforce, Power BI, Tableau).
• Shared services, outsourcing, RPO, managed services, staffing, consulting, or other service-based business models.