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Open nowFirst seen 21 hours ago

Data Analyst

global-e/62.00247 open roles

Where
Israel, Petah Tikva
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On site
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Your applicationOpen nowData Analystglobal-e/62.002 · Israel, Petah Tikva

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. global-e/62.002 postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 21 hours ago

global-e/62.002 median: 1 days open

The posting

Global-e (Nasdaq: GLBE) is the world’s leading platform for global direct-to-consumer e-commerce, enabling brands and retailers to seamlessly sell worldwide, delivering localized experiences across markets.

Trusted by some of the world’s most recognized brands including Adidas, Alo Yoga, Logitech, Hugo Boss, Marc Jacobs, and Victoria’s Secret, we operate on a massive global scale through dynamic teams across North America, EMEA, and APAC.

Our technology-based end-to-end solution combines advanced localization capabilities, streamlined global operations and extensive big-data analytics, covering everything merchants need to scale worldwide. We’re a fast-moving, highly collaborative company where innovation, creativity, ownership, and impact are part of everyday work.

We are looking for a 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.

Responsibilities:

  • 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
  • Conduct and analyze AB testing together with the Payments, Product and Professional Services teams, to measure the effect of new features, payment methods and other growth initiatives for our customers, and provide recommendations and conclusions.
  • 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

Requirements

  • BSc in Industrial Engineering & Management, Economics, Statistics, or related analytical field
  • 2+ 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)
  • Experience with AB testing and Product Analytics
  • 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
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