2 of 2 Contract Pricing Strategy Jobs

finance, sales operations, data analytics, and business planning teams to build scalable programs and drive performance across partner ecosystem. Your projects will focus on program design, performance analysis, pricing and incentive strategies—primarily for hardware/software resellers, system integrators, and consultancy firms (not retail or advertising partners). What You’ll Do : Design and execute partner programs … including partner tiering, incentive models, and pricing strategies Own and drive analytical projects focused on evaluating partner performance and ecosystem mapping Collaborate with cross-functional stakeholders (finance, business planning & ops, data teams, deal desk) to ensure program alignment Develop and maintain dashboards and reports in Salesforce , Excel , Google Sheets , and Tableau/Unidash Drive continuous improvement by identifying … process inefficiencies and optimizing workflows Support strategic initiatives around pricing, packaging, discount allocation, and rebate structures Track and report on key performance metrics and make data-driven recommendations Communicate program strategies, insights, and progress to leadership and stakeholders Required Skills & Experience: 5+ years of experience in B2B enterprise sales operations or partner operations Strong experience working with and More ❯

Outside IR35) Location : Hybrid-2 days/week in London office Client Context Work with top-tier retailers and e-commerce brands that demand scientifically rigorous pricing strategies. Your models will directly inform multi-million-pound margin and revenue decisions. Role Overview As a Price Modelling Specialist, you'll lead the design, development and deployment of predictive pricing and elasticity models. You'll translate data into dynamic pricing rules that maximise revenue, test their impact in-market, and package insights for commercial leaders. Key Responsibilities Develop and maintain price-elasticity, demand-forecasting and revenue-optimisation models in Python Design, execute and analyse A/B tests and quasi-experimental frameworks to validate pricing strategies Build automated pipelines to refresh price recommendations in near real-time Integrate model outputs into BI dashboards and reporting workflows Present clear, actionable pricing insights to commercial and executive stakeholders Must-Haves Master's in Statistics, Econometrics, Data Science or related quantitative field Expert in Python (pandas, scikit-learn) and advanced SQL for large-scale More ❯