This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
At JFrog, we’re reinventing DevOps to help the world’s greatest companies innovate — and we want you along for the ride. Thousands of customers, including 75% of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production — a concept we call “liquid software.” Join us and be part of a mission that’s transforming how software is delivered. We’re looking for an inquisitive, detail-oriented Product Analyst to join our Platform Services data team. You’ll play a key role in driving product development by collaborating with cross-functional teams and delivering actionable insights based on user behavior and product performance.
Job Responsibility:
Partner with product managers, developers, marketing, sales, and UX researchers to identify opportunities for improving product experience and trial conversion
Analyze user behavior throughout the customer lifecycle — from onboarding and engagement to feature adoption and retention
Define KPIs and core product metrics
build scalable dashboards to support data-driven decisions
Evaluate the performance of product features and trials, and identify areas for optimization
Provide insights, onboarding improvements, and sales funnel refinement
Communicate findings clearly with stakeholders using compelling data storytelling and visualizations
Support data infrastructure by collaborating with data engineers to optimize data pipelines and ensure data reliability
Requirements:
3–5 years of experience as a Product Analyst or similar role in a tech-driven environment — mandatory
Strong command of SQL and experience analyzing large datasets
Experience with BI tools like Tableau (or similar platforms)
Bachelor's degree in a quantitative field (e.g., Engineering, Mathematics, Economics, Physics, or Social Sciences)
Solid understanding of data visualization and experimentation methodologies
Strong communication and storytelling skills in English, both written and verbal
Self-starter with critical thinking skills and a strong product mindset
Nice to have:
Product analytics background Experience with product analytics platforms (e.g., Heap, Mixpanel) — a strong advantage
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