Business Analytics Manager

About the Role We are seeking a Business Analytics Managerto own the analytical agenda for our Germany market– one of our most complex and strategically vital European hubs. This is a senior Individual Contributor (IC) role with a clear mandate: use data to drive commercial decisions. You will be embedded with the Germany commercial team. You are not a back-office reporting function. You are the analytical co-pilotfor Category, Marketing, Supply Chain, and Merchant Operations – translating complex data into clear, actionable business recommendations that shape P&L outcomes. Key Responsibilities Commercial Strategy & Business Performance Own the Germany market performance narrative – delivering weekly, monthly, and quarterly business reviews to the Germany Country Manager. Define and monitor key performance indicators across GMV, orders, revenue, conversion, fulfillment, customer experience, and contribution margin. Identify growth opportunities and operational bottlenecks through rigorous data analysis – providing clear, data-backed recommendations. Lead scenario planning and "what-if" modeling to support annual planning, budget allocation, and strategic investments. Cross-Functional Partnership Partner with Category teams to optimize assortment, pricing architecture, and promotional calendars. Collaborate with Marketing to evaluate channel efficiency, customer acquisition costs, and lifetime value. Work with Supply Chain & Logistics to balance delivery speed, cost, and customer satisfaction. Advise Merchant Operations on seller segmentation, incentive design, and supply-side retention strategies. Align with Product & Engineering to prioritize Germany-specific data requirements and instrumentation. Advanced Analytics & Modeling Build forecasting models for demand, revenue, and supply – incorporating seasonality, promotions, and macroeconomic indicators. Design and execute causal inference analyses to measure incrementality of pricing changes, promotions, and marketing investments. Develop customer segmentation, cohort analysis, and lifetime value models to inform commercial strategy. Lead strategic deep-dives on high-priority topics – from fulfillment optimization to category expansion and competitive positioning. Data Infrastructure & Automation Architect and maintain the Germany market data layer – from automated ETL pipelines to executive dashboards. Drive automation of recurring reporting, reducing manual effort and enabling focus on high-value strategic work. Establish self-service data capabilities for local commercial teams. Ensure data quality, governance, and compliance with GDPR and German data protection regulations. Qualifications 8 years of experience in Business Analytics, Commercial Analytics, Strategy, Data Science, or Management Consulting with a quantitative focus, includingat least 2 years directly focused on the German or DACH eCommerce, retail, or marketplacesector. Master's Economics, Statistics, Computer Science, Operations Research, Supply Chain, Mathematics, or a related quantitative field. Expert-level SQL– ability to write complex, optimized queries across petabyte-scale data warehouses (Snowflake/BigQuery/Redshift). Advanced proficiency in Python – with demonstrated experience in forecasting, causal inference, cohort analysis, segmentation, and automation. Expert-level BI skills– Looker, Tableau, or Power BI – building decision-making tools that commercial teams actually use daily. Proven track record of directly influencing P&L outcomes– measurable impact on GMV growth, margin improvement, or cost efficiency through data-driven recommendations. Strong business communication skills– ability to synthesize complex data into executive-ready narratives, board presentations, and actionable recommendations. Fluent English and required to lead meetings and present to local stakeholders in German. Based in Berlin, with a hybrid working model.