Your profile: Bachelor''s or Master’s degree in a relevant field (e.g., Economics, Business, Statistics, Data Science). Proven experience in data analysis and pricing. Knowledge of pricing strategies, revenue management principles, and demand forecasting techniques. Proficiency in data analysis tools and programming languages (e.g., Excel, Tableau, Power BI, Python, SQL or similar). Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Attention to detail and the ability to work with complex data sets. Knowledge of statistical modeling and forecasting techniques. Strategic and analytic thinker with a data-driven mindset. Self-motivated and able to work independently. Strong teamwork and collaboration skills. Adaptable and able to handle changing priorities in a dynamic environment. Business acumen and a deep understanding of market dynamics. Very good knowledge of English required, knowledge of German would be an advantage.

You will play a critical role in shaping the pricing strategies and revenue management decision-making processes within our organization. You will be responsible for collecting, analyzing, interpreting, and forecasting data related to product pricing, utilization, revenue, market trends, and customer behavior. Your insights and recommendations will directly impact our pricing strategies, revenue & utilization optimization, and competitive positioning in the market. Your tasks: Perform in-depth analysis of pricing data to identify trends, patterns, and opportunities. Utilize statistical and data analysis tools to extract meaningful insights from large datasets including revenue forecasting models that incorporate various factors, including pricing, demand, seasonality, and market dynamics Identify key pricing drivers and factors influencing customer behavior. Prepare clear and concise reports and visualizations to communicate pricing insights to key stakeholders and facilitate decision-making processes. Collaborate with the pricing team to develop and refine pricing strategies based on data-driven insights. Evaluate and recommend pricing adjustments to enhance profitability, utilization and competitiveness. Conduct price elasticity analysis to determine the impact of price changes on demand and utilization.