Senior Product Analyst

Cloudinary

Israel Hybrid contract

Posted: January 25, 2026

Required Skills

Job Description

The Role

As a Senior Product Analyst, you will partner closely with Product Managers, Engineering, Design, and Business stakeholders to turn data into actionable insights. You’ll define success metrics, analyze product performance, and influence product strategy and prioritization across Cloudinary’s platform.

What You’ll Do:
• Own and develop product KPIs to track usage, engagement, retention, conversion, and growth
• Analyze user behavior and product performance to identify opportunities, risks, and improvement areas
• Design, execute, and analyze A/B tests and experiments, from hypothesis to actionable recommendations
• Partner with Product Managers to support roadmap planning and feature prioritization based on data and ROI
• Perform deep-dive analyses on funnels, cohorts, and user segments
• Leverage AI-powered analytics tools (e.g., Cursor, ChatGPT, AI copilots) to accelerate SQL, analysis, documentation, and insight generation
• Clearly communicate insights and recommendations to product teams and senior leadership

What You Bring - Experience & Background:
• 5+ years of experience as a Product Analyst / Data Analyst in a product-led organization
• Strong experience working with SaaS products at scale
• Proven track record of influencing product decisions with data
• Hands-on experience integrating AI-assisted workflows into analytics and decision-making

Technical Skills:
• Advanced SQL skills (required)
• Experience with product analytics tools such as Amplitude, Mixpanel, GA4, Heap, or similar
• Experience with BI & visualization tools (Qlik, Tableau, Looker, Power BI, etc.)
• Solid understanding of statistics and experimentation (A/B testing, hypothesis testing)
• Experience using AI tools (e.g., Cursor, ChatGPT, Copilot) to improve productivity and analytical depth
• Experience with Python, Pandas for advanced analysis

Soft Skills:
• Strong analytical and critical-thinking abilities
• Excellent communication skills - able to turn complex data into clear, actionable stories
• Curious, proactive, and comfortable working in fast-paced environments
• Strong collaboration skills across product, engineering, and business teams

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