Pricing Specialist

Job Description Position Summary The Pricing Specialist (Analytical Focus) is responsible for delivering data-driven insights that inform pricing strategy and commercial decision-making. This role emphasizes financial modeling, pricing analytics, and performance evaluation to optimize revenue and margin outcomes. The position partners closely with finance and business stakeholders to translate complex data into actionable recommendations. Key Responsibilities Advanced Pricing Analytics · Lead analysis of pricing data, client trends, and financial performance to identify risks and opportunities · Develop insights to optimize pricing strategies, improve profitability, and support revenue growth · Evaluate the effectiveness of pricing decisions through post-deal analysis and performance tracking · Build business cases and scenario analyses to support strategic pricing decisions Financial Modeling & Decision Support · Design and maintain sophisticated financial models to evaluate pricing scenarios, cost structures, and margin impacts · Conduct sensitivity and scenario analysis to assess the impact of pricing changes · Partner with stakeholders to provide data-backed recommendations on pricing structures and commercial terms · Support large, complex pricing initiatives with rigorous financial analysis Data Strategy & Reporting · Develop dashboards and reporting frameworks to track pricing performance and key commercial metrics · Ensure integrity, consistency, and usability of pricing data across systems · Automate and enhance reporting processes to improve speed and accuracy of insights Pricing Strategy Enablement · Support the evolution of pricing frameworks through data insights and benchmarking · Contribute analytical input into pricing policies, tools, and methodologies · Identify trends and patterns to inform long-term pricing strategy and market positioning Key Performance Indicators (KPIs) · Revenue & Margin Optimization: Measurable improvement in profitability driven by pricing insights · Forecast Accuracy: Accuracy of financial models and pricing projections · Insight Adoption: % of recommendations implemented by stakeholders · Analytical Output Quality: Accuracy, depth, and timeliness of analysis delivered · Process Automation: Reduction in manual reporting through automation and tool development · Data Integrity: Reliability and consistency of pricing data used for decision-making Qualifications & Experience · Bachelor’s degree in Finance, Economics, Data Analytics, or a related field · 3–6 years of experience in pricing analytics, financial modeling, or commercial finance · Experience in professional services, consulting, or a data-driven commercial environment preferred Skills & Competencies · Advanced financial modeling and analytical skills (Excel, data tools) · Strong ability to interpret complex datasets and translate into business insights · Experience with data visualization and reporting tools (e.g., Power BI, T