Global-e is looking for a Senior Data Analyst to join our growing Analytics & Growth team and play a key role in tracking, analyzing, and optimizing the company’s overall performance across customers.
The role focuses on defining event tracking, attributes, and properties mapping, analyzing conversion funnels, and identifying trends or issues using web analytics tools. You will work closely with R&D, Professional Services, Product managers, and the Business Intelligence team to ensure data integrity, validate tracking implementations, support new feature launches, and enable data-driven decision-making across the organization.
The ideal candidate is highly independent, curious, and proactive, with a strong drive to uncover root causes and continuously learn new tools and methods to solve complex analytical challenges
· Define, implement, and maintain event tracking, attributes, and properties across web and product platforms
· Gather and analyze data from multiple sources, including web analytics, internal systems, session recordings, and online browsing activities
· Conduct in-depth analyses of customers conversion funnels and trends to identify optimization opportunities, as well as raise alerts and potential issues
· Monitor KPIs related to conversion, engagement, and overall company performance
· Guide and support our e-commerce funnel optimization with data backed insights.
· Collaborate with R&D, product managers, and cross-functional teams to define tracking needs, raise alerts, and support new feature launches
· Ensure web analytics data is accurately reflected in BI dashboards and reports, enabling reliable decision-making and insights
· Work closely with the BI team on reporting requests, dashboards design, QA, and acceptance before release
· Provide actionable, data-backed insights to support company-wide strategy and analytical projects
· Take initiative to learn independently, adopt new analytical approaches, and work autonomously on complex problems
· BSc in Industrial Engineering & Management, Economics, Statistics, or related analytical field
· 3+ years of experience in data analysis, preferably in customer-focused or digital analytics roles
· Strong proficiency in web analytics tools (e.g., Google Analytics/GA4, Mixpanel, Amplitude, Shopify Analytics, Adobe Analytics)
· High proficiency in SQL and large and complex data sets
· High proficiency in Excel
· Experience working with BI tools- preferably QlikSense
· Solid understanding of conversion funnels, event tracking, and data quality validation
· Experience collaborating with cross-functional teams including product, tech, and BI
· Excellent analytical, problem-solving, communication and presentation skills
· Detail-oriented with strong business understanding, analytical depth and ability to manage large, complex datasets
· Independent, proactive, and quick learner with strong self-motivation and ownership mindset
· Fluent in English, both written and spoken
Top Skills
What We Do
Global-e (Nasdaq: GLBE) is the world’s leading platform to enable and accelerate global, direct-to-consumer cross-border e-commerce growth. The chosen partner of hundreds of retailers and brands across the United States, Europe and Asia, Global-e makes selling internationally as simple as selling domestically. With Global-e, retailers and brands can increase international traffic conversion and grow sales by offering customers in over 200 destinations worldwide a seamless localised shopping experience. Our end-to-end e-commerce solutions combine best-in-class localisation capabilities, big-data best-practice business intelligence models, streamlined international logistics and vast cross-border experience, enabling online retailers to sell to and from anywhere in the world and seamlessly expand their brand worldwide. Operating from ten offices worldwide, our people play the key role in our success, and we are always looking for more driven, talented and ambitious individuals to join our growing international family. Check out our open positions at https://www.global-e.com/careers/
