VIDA XL EUROPE BV
Website:
vidaxl.com
Job details:
Summary Positioning
This role strengthens the Webshop domain by enabling better, faster, and deeper data driven decisions, while reducing analytical dependency on individual contributors and improving collaboration between Webshop and Performance teams.
Role Overview
The Webshop Data Analyst sits at the intersection of Webshop Product, Tech, and Performance. The role focuses on turning webshop data into clear, actionable insights that improve conversion, revenue, customer experience, and operational decisions. This analyst takes ownership of webshop performance analytics, supports decision-making product and commercial teams, and gradually takes over part of the current
analytical workload within the Webshop domain. The role collaborates closely with Performance and Marketing Analytics but has a primary focus on onsite and commercial performance.
Key Responsibilities
1. Webshop Performance Analysis
• Analyze end-to-end webshop performance, from traffic and behavior to conversion
and revenue
• Translate business and product questions into structured data analysis
• Proactively identify opportunities and issues impacting webshop outcomes
• Support decision-making with clear insights, recommendations, and impact sizing
Core Webshop KPIs include (but are not limited to):
• Conversion Rate (overall & funnel-level)
• Revenue, Orders, AOV
• Revenue per Visitor
• Funnel drop-off (PDP → Cart → Checkout → Order)
• Product performance (views, add-to-cart, sales, margin)
• Assortment performance and availability impact
• Pricing & promotion effectiveness
• Customer behavior and journey analysis
• Impact of stock, delivery options, and webshop changes on sales
2. Dashboarding & Reporting
• Build and maintain standardized webshop performance dashboards for:
o Webshop Product & Tech teams
o Commercial and leadership stakeholders
• Automate recurring reporting to reduce manual effort and increase consistency
• Ensure dashboards focus on decision-making, not just visibility
• Maintain a clear structure of webshop KPIs and definitions
3. Experimentation & Impact Measurement
• Measure impact of:
o Webshop feature changes
o UX / CRO experiments
o Product, pricing, and promotion changes
• Support A/B testing and experimentation analysis
• Help quantify the impact of webshop and tech changes on conversion and revenue
• Partner with Product and Performance teams on experiment design and evaluation
4. Collaboration with Performance & Marketing Analytics
• Work closely with Performance and Marketing Analytics teams to:
o Connect onsite behavior with marketing traffic
o Align insights across webshop and campaign performance
• Support (but not necessarily own) advanced analytics initiatives such as:
o Customer Lifetime Value (CLV)
o Forecasting or attribution
• Act as a bridge between webshop insights and broader commercial performance
5. Data Quality & Governance
• Monitor webshop data quality across event tracking, transactional data, and
dashboards
• Proactively flag anomalies or data gaps impacting decision-making
• Collaborate with Data Engineering, BI, or Tech teams to resolve issues
• Maintain documentation on webshop metrics, definitions, and data sources
Key Stakeholders
• Webshop Product Managers
• Webshop Tech / Engineering teams
• Performance & Marketing Analytics
• Commercial and business stakeholders
Click on Apply to know more.
