> Markdown version of [/jobs/ext/4044310-ecommerce-trading-analyst](https://www.wearedevelopers.com/jobs/ext/4044310-ecommerce-trading-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Ecommerce Trading Analyst - **Company:** Asics - **Location:** HOOFDDORP, Netherlands (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Data Integrity, Google Analytics, Pivot Tables, Power BI, SAP (Applications), Pure Data, Data Analytics, Performance Monitor, Custom Reports - **Published:** October 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=ddbbfdaa92befebe ## About the Role * Bachelor's degree in Business, Economics, Data Analytics, or a related field; equivalent experience would be considered. * 3-5 years of experience in D2C Ecommerce, digital trading, or Ecommerce analytics - pure data analytics without Ecommerce commercial context is not equivalent. * High proficiency in GA4: custom reports, conversion funnel analysis, channel/device/country segmentation, and performance driver identification; this is a daily hands-on tool. * Advanced Excel and Power BI: builds trading analyses, pivot tables, and complex data models independently in Excel; creates and maintains live trading dashboards in Power BI. * Strong understanding of Ecommerce KPIs and the online conversion funnel (Sales, Traffic, Conversion Rate, AOV, ASP, UPT, Add-to-Cart Rate); fluency in digital marketing channels (paid, organic, email, affiliate) and their impact on on-site trading performance. * Strong communication skills: translates complex data into clear commercial narrative and presents confidently to non-technical audiences. * Experience with Contentsquare or an equivalent digital experience analytics tool is a plus; Salesforce Commerce Cloud (SFCC) or equivalent Ecommerce platform experience is also an advantage. ## Description Based at our EMEA headquarters in Hoofddorp, near Amsterdam, you will join the Ecommerce team as a Trading Analyst, reporting to the Ecommerce Trading Manager within the broader Ecommerce organisation. This is a newly created role, built to support the analytical backbone for ASICS.com, one of the highest-impact commercial channels in the ASICS EMEA business. You will work cross-functionally with content, planning, digital marketing, loyalty, digital merchandising, and optimisation teams to ensure performance is visible, understood, and acted on across Ecommerce organisation., * Performance Monitoring & Analysis - track daily and weekly Ecommerce KPIs (sales, traffic, conversion, AOV, ASP, UPT) by country, category, product, channel, and device; identify trends, risks, and opportunities; flag deviations proactively before they reach leadership. * Trading Reporting & Dashboards - support the development and continuous improvement of trading dashboards and reports in Power BI and Excel; produce regular trading insights to support commercial decision-making; make performance data accessible and consistent across commercial stakeholders. * Campaigns & Trading Moments - support the planning, execution, and post-analysis of key Ecommerce campaigns and trading moments; track the impact of promotional activities and product launches on sales, traffic, conversion, and customer behaviour. * Customer Journey & Conversion Analysis - use GA4 and Contentsquare to investigate performance drivers and identify conversion improvement opportunities across the online journey; translate findings into clear commercial recommendations. * Cross-Functional Collaboration - work closely with content, planning, digital marketing, loyalty, digital merchandising, and optimisation teams; communicate data clearly to each audience using the right data definitions; cover the Trading Manager in trade meetings and present findings independently when required. Data Integrity & Contextualisation - ensure reports and dashboards are accurate and contextualised correctly; understand what each data source represents (GA4, SAP, SFCC) and communicate the right data to the right audience; flag data quality issues and support alignment across teams. *