Miele X B.V.

Web Analyst
Client
tools, methods & Technologies used
Google Analytics 4 (GA4), Google Tag Manager (GTM), Google BigQuery, Google Looker Studio, Power BI, Google Cloud Platform (GCP), Python, GA4 Data API, Databricks, JIRA / Confluence, Miro
project year
2023
  • eCommerce Performance Reporting: Delivered recurring deep-dive reports on eCommerce KPIs—such as conversion rates, cart abandonment, and revenue trends—across key Miele markets, analyzing MoM, QoQ, and YoY sales developments to inform commercial strategy.
  • Advanced Tracking Implementation: Optimized GA4 and GTM setups in collaboration with the web tracking team to enhance data quality, improve event tracking accuracy, and ensure compliance with privacy regulations.
  • Automation & Dashboarding: Automated reporting workflows using Python and Google APIs, significantly reducing manual effort. Built and maintained performance dashboards in Looker Studio and Power BI, enabling senior stakeholders to track OKRs and make informed decisions.
  • Experimentation & CRO: Coordinated A/B testing initiatives via Optimizely, working with UX and CRO teams to evaluate design hypotheses and improve the global eCommerce experience through data-backed iterations.
  • Product & Business Alignment: Supported product teams by analyzing customer behavior and digital performance data, translating insights into recommendations aligned with business goals and OKRs.
  • Scrum & Agile Collaboration: Actively participated in Agile ceremonies—including sprint planning, backlog refinement, and stakeholder demos—helping to align analytics deliverables with sprint objectives.
  • Governance & Access Control: Managed Universal Analytics property access and governance, ensuring data privacy compliance and maintaining clean, reliable datasets.
  • Team Support & Ownership: Proactively contributed beyond core responsibilities to support team capacity and accelerate high-priority analytics projects.
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