e-Commerce Data Analyst

About the Role

Key Responsibilities

• Own the end-to-end eCommerce data tracking plan and partner with HQ tagging and web development teams to ensure all user events and transactions are accurately instrumented and validated through each release cycle.
• Build and maintain automated data pipelines that monitor key eCommerce KPIs—site traffic, conversion rates, average order value, cart abandonment—and alert the team to trends or anomalies in real time.
• Structure raw web and transaction data into clear, actionable insights; deliver regular and ad-hoc analyses that guide marketing, product, and commercial decisions.
• Partner with the Director of Testing & Analytics and the eCommerce product team to define measurement requirements, map user journeys, and surface product performance drivers.
• Design and enhance self-serve reporting tools (e.g., Power BI, Looker), translating stakeholder needs into intuitive dashboards with robust business logic and usability in mind.
• Ensure data integrity and trust by auditing tracking implementations, troubleshooting discrepancies, and collaborating with engineering to resolve issues.
• Craft and deliver presentations to team executives detailing changing web behavior trends and opportunities to optimize the web experience.
• Identify opportunities to integrate AI and predictive analytics—such as personalization engines, propensity models, and dynamic pricing—and help roadmap the tools and data required to support them.

Requirements

• Bachelor's or Master's Degree in Business, Marketing, Data Science, Computer Science, Engineering, Mathematics, or 4+ years related experience.
• 3-6 years of experience in data analytics, with at least 2 years owning dashboards and reporting in a business setting.
• Proficiency in SQL and Python; experience with data wrangling, analysis, and light scripting.
• Experience with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery).
• Familiarity with dashboarding tools (e.g., Tableau, Power BI, Looker).
• Working experience with web analytics tools such as Google Analytics or Adobe Analytics.
• General knowledge of A/B testing tools such as A/B Tasty, Optimizely, or Adobe Target.
• General understanding of web development as it relates to web tagging and analytics.
• General knowledge of tools such as GTM and Adobe Launch as they relate to tag implementation and management.
• Strong communication skills—able to explain data clearly to both technical and non-technical audiences.
• Ability to work independently, prioritize ruthlessly, and move fast with limited oversight.
• Experience working with ecommerce, revenue, or consumer-facing data preferred.
• Fluent in English; additional languages beneficial.
• Willingness to travel occasionally to corporate headquarters in Geneva and operational locations as needed.

Nice to Have

• Experience with data wrangling, analysis, and scripting in Python.
• Experience with AI and predictive analytics tools such as personalization engines, propensity models, and dynamic pricing.

Qualifications

• Bachelor's or Master's Degree in relevant fields.
• 3-6 years of experience in data analytics.

Benefits & Perks

• Competitive salary estimated between $87.8K - $114K annually.
• Hybrid work position requiring 3 days per week in the Miami office.
• Opportunities to work on innovative projects involving AI and predictive analytics.
• Being part of a global team committed to diversity, inclusion, and sustainability.