Product Analyst

A startup in the GenAI field focusing on Product Analytics, developing a product designed to save time, effort, and money for analysts and analytics teams, maximizing the potential of organizational product data.

The company is in its early stages and was founded by experienced entrepreneurs who have exited successful ventures in the past. They are currently looking for the first hire in the AI function to join the initial five employees, where every new team member has a significant say and impact.

This is an opportunity to build something from scratch with future funding and competitive salary and stock options.

The company is located in Tel Aviv near a train line and operates with a hybrid work model of one day remote work per week.

Role Overview:

• The first hire for the Senior Product Analyst role, joining the Product team.
• Responsibilities include analyzing customer data and being part of the team that defines and characterizes the product.
• The product is designed for analysts and product teams, requiring experience in SQL, Python, and analytics tools.

Key Responsibilities:

• Evaluate and analyze the company’s customers' products using event data from their analytics platforms and data warehouses.
• Play a crucial role in defining the revolutionary Product Data Analytics Companion, exploring innovative feature ideas and improvements to enhance customer value.
• Leverage AI to analyze product data from diverse sources, delivering trusted insights and actionable recommendations.
• Work closely with real-world data to perform experiments and research aimed at optimizing solutions.
• Stay up to date with the latest advancements in data analytics, including exploration of related machine learning and GenAI tools.
• Collaborate within a dynamic and fast-paced team.

Requirements:

● 5 years' experience in Product Analysis

● Proficient in SQL - a must, Proficient in Python - great advantage

● Vast experience in working with analytics tools such as Google Analytics, Mix panel etc. and

data warehouses such as BigQuery, RedShift etc.

● Deep knowledge of how product tracking events work

● Excellent problem-solving skills and a creative mindset to address complex data challenges

● Close collaboration with product and engineering to deliver solutions with complex

requirements in a fast-paced team