• Pricing Analytics: Design, develop, and implement advanced pricing models and algorithms to optimize pricing for our diverse portfolio of products. • Conduct detailed analysis of customer price sensitivity, elasticity, competitor pricing strategies, and market dynamics to identify opportunities for price optimization. • Commercial Effectiveness Analysis: Analyze sales data, customer behavior, and market trends to evaluate and enhance the effectiveness of our commercial strategies. • Identify key drivers of sales performance and provide data-driven recommendations to improve sales force effectiveness, customer segmentation, and marketing initiatives. • Actionable Insights and Recommendations: Translate complex analytical findings into clear, concise, and actionable recommendations for senior leadership and commercial teams. • Develop and present compelling narratives that drive strategic decision-making and lead to measurable improvements in revenue and profitability. • Cross-Functional Collaboration: Partner closely with stakeholders across various departments, including Sales, Marketing, Finance, Operations, and Product Management, to understand their challenges and objectives. • Ensure that data science projects are aligned with business goals and the insights are effectively integrated into their processes. • Influence and Adoption: Act as a data evangelist, championing the use of data-driven decision-making throughout the commercial organization. • Skillfully influence stakeholders at all levels to adopt new strategies and analytical recommendations. • Predictive Modeling: Build and deploy predictive models to forecast demand, identify customer churn risk, and uncover upsell and cross-sell opportunities. • Experimentation: Design and execute A/B and multivariate tests to evaluate the impact of pricing changes and other commercial initiatives. • Data and Tools: Work with large and complex datasets from various sources, ensuring data quality and integrity. Utilize a range of data science tools and technologies, including Python or R, SQL, and data visualization platforms, to perform analysis and build models.