משרות בתחום Product Analytics בישראל

Turn product and customer data into insights and recommendations that shape product strategy, roadmap decisions, and business performance. Work with product managers, engineers, and business leaders in a flexible hybrid model.

Join the R&D team of a digital intelligence company to improve the accuracy and coverage of retail product data. Partner with product, engineering, data science, and customer-facing teams to assess data and model quality and translate findings into product improvements. The role offers partial work-

Lead end-to-end specification and development of data products and data infrastructure for research and business teams. Translate business needs into data solutions and collaborate with data engineering, BI, and business stakeholders.

Join a healthcare technology company’s Product Analytics team. Build scalable customer-facing analytics products and provide insights that help customers and internal teams make informed decisions. The role works across product, customer success, operations, engineering, and clinical teams.

Use data and AI-powered analytics to shape product strategy, guide product decisions, and improve analytical workflows. Partner with product, engineering, and cross-functional teams in a hybrid role based in Tel Aviv.

Drive product decisions through end-to-end analytics for an AI search platform. Partner with Product, Engineering, Growth, and leadership to identify opportunities, evaluate outcomes, and guide product strategy.

Use data science and product analytics to identify opportunities, measure product outcomes, and inform product strategy and investment decisions. This is an 18-month short-term contract.

Join a digital health company’s machine learning team to use health and behavioral data to shape product decisions and improve digital heart health experiences. Partner with product, engineering, data, clinical, marketing, and customer success teams.

Own product analytics and turn customer and product data into actionable insights that help teams make better product decisions. Work across Product, Data, and Engineering in a fast-moving environment.

Own product analytics for classification and brand safety, supporting data-driven decisions, analytics engineering, and AI-assisted reporting workflows.