עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!

במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.

מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.

חברה בתחום כללי

תל אביב - יפו

חברה בתחום כללי

תל אביב - יפו
מלאה
14,000-20,000 ₪ (הערכה מבוססת AI)
הערכה מבוססת AI ולא שכר של המעסיק

Were looking for a Data Analyst to join our growing data team and help make analytics a core part of how we build. Youll work on the product-usage side of an AI product that thousands of developers rely on - understanding how teams adopt AI code review, which features drive value, and where we can make the experience better. Its a product-focused role at heart, reaching into business, operational, and cost metrics too, with room to shape how we work as the team grows.

Be the go-to analyst for the product team - drive product analytics day to day: how developers use our AI features, plus retention and conversion funnels.
Turn raw product and usage data into clear, consistent metrics the team can trust.
Build and maintain the modeled data layer, so metrics live in one place and analysis is repeatable rather than rebuilt each time.
Build and maintain dashboards so teams can self-serve answers.
Run deep-dive analysis to surface opportunities and support product decisions and experimentation.
Extend into business and operational KPIs - conversion, churn, segmentation, customer value - and cost / unit-economics.
Take analyses from problem definition through to clear recommendations, not just reports.

Requirements:
3+ years of industry experience as a Data, Product, Business, or BI Analyst, ideally in a developer-focused or technical B2B product.
AI-native: AI tools are a default part of how you work, and you build prompts, scripts, and small agents to automate the repetitive parts of your own analysis workflow.
Strong SQL and data modeling: you can move around a data warehouse independently, spot when a query that runs is still returning the wrong answer, and build clean, well-structured datasets that other people can rely on.
Experience with a product analytics tool (e.g. Mixpanel) or a BI tool, with proven experience building self-serve dashboards.
Strong communication and storytelling - you turn analysis into clear recommendations for non-technical stakeholders.
Solid business sense - comfortable moving between product metrics and broader business and operational KPIs.
Self-directed and comfortable with ambiguity - you can take a question from definition through to a clear answer with limited guidance, while working closely with a small team.
Fluent English, written and spoken.
Startup DNA - comfortable with fast iteration, shifting priorities, and wearing multiple hats.

This position is open to all candidates.