Revelyst – Adventure Sports Group Europe is a fast-growing action sports company that prides itself on attracting passionate and talented individuals. We are looking for a data-driven, analytical and commercially minded

Amazon eCommerce Analyst & Demand Planner

to join our team.

This role sits at the intersection of eCommerce, demand planning and commercial analytics, turning POS, inventory and sales data into clear forecasts, actionable insights and operational decisions. The position will support Amazon account management, demand planning and day-to-day business performance across EMEA.

The main tasks of the position are:

The Amazon eCommerce Analyst & Demand Planner will be responsible for analyzing commercial data, supporting forecasting activities, monitoring Amazon operational health and acting as a bridge between Sales, Planning and Operations.

Commercial Analytics & Insight Generation

Build and maintain regular state-of-the-business dashboards using revenue, POS and inventory data

Analyze sell-out, sell-in, rejections,



stock cover and purchasing trends to support strategy development and decision-making

Identify incremental sales opportunities and potential business risks through data analysis

Deliver clear, data-backed recommendations to internal stakeholders

Present findings and insights to senior executives and external customer teams when required

Collaborate with Marketing, Finance and Product teams on third-party data to enrich commercial understanding

Demand Planning & Forecasting

Support Sales and Demand Planning with long-range forecasting

Integrate commercial signals into the S&OP; process

Work closely with the Wholesale Demand Planning team to align forecasts and monitor inventory shifts and risks

Monitor stock cover and support the maintenance of optimal inventory levels

Maintain the central planning database up to date by season

Ensure planning data is accurate and available to support buy decisions and replenishment planning

📌 eCommerce Analyst (Madrid)
🏢 Revelyst
📍 Madrid