Product Analyst

Product Analyst - Job Description

A well-funded startup is developing an AI-powered analytics companion designed to address the complexity of analyzing product data. We harness the power of advanced data analysis capabilities to revolutionize the way companies make product decisions, aiming to boost their bottom-line revenue. The company is led by seasoned entrepreneurs who successfully exited previous startups and are passionate about building another game-changing product. With backing from top Israeli VC and angel investors, we are looking for a core team member to join us on this exciting journey.

Key Responsibilities:

• Evaluate, map, and analyze customers' products by using events data from their analytics platforms and data warehouses.
• Validate SQL queries generated by AI models and automate fixes and improvements.
• Build and manage complex datasets for AI model evaluation purposes.
• Be a crucial part of the Product team, defining a revolutionary Product Data Analytics Companion and exploring innovative feature ideas & improvements.
• Leverage AI to analyze product data from diverse sources, delivering trusted insights and actionable recommendations.
• Stay up-to-date with the latest advancements in the data analytics world, including exploration of machine learning and AI tools.
• Collaborate within a dynamic and fast-paced team.

Requirements:

• Minimum of 3 years of experience in analysis positions. Product analyst experience is an advantage.
• Proficient in SQL – a must, proficient in Python – great advantage.
• Experience analyzing large datasets and providing useful, actionable insights and recommendations to different stakeholders.
• Excellent problem-solving skills and a creative mindset to address complex data challenges.
• Experience working with analytics tools such as Google Analytics, Mixpanel, etc., and data warehouses such as BigQuery, RedShift, etc. – an advantage.
• Deep knowledge of how product tracking events work – an advantage.

Location: Tel Aviv (Hybrid model – 4 days in the office, 1 day remote).