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The Open Platform (TOP) ищет Product Analyst для ведения аналитической стеки продуктов и операций: от документирования data marts до создания дашбордов и ключевых инсайтов, которые влияют на решения команды.
Требуется 3+ года опыта, сильный SQL, опыт работы с BI-инструментами и анализа продукта, включая A/B-тесты. Удаленная работа с доступом к мощным AI-моделям через инфраструктуру компании. Компенсация и оборудование покрываются компанией.
The Open Platform (TOP) is the leading tech company developing Web3 innovations in Telegram. TOP is fueling the Telegram economy through both foundational infrastructure and consumer-facing apps. By integrating blockchain technology into day-to-day digital activities, TOP is building a seamless, scalable platform designed for a billion users - accelerating the mass adoption of crypto. We are looking for a Product Analyst to own the analytical layer behind our product and operations teams: from building and documenting data marts to delivering dashboards and product insights that drive decisions.
3+ years of experience as a Data or Product Analyst. Strong SQL skills, including complex queries, CTEs, window functions, aggregations, and query optimization. Experience designing and building data marts. Experience working with BI tools and creating dashboards. Solid understanding of product analytics: funnel, cohort, and retention analysis, unit economics, and the design and statistical evaluation of A/B tests. Experience with event-based analytics (product events, tracking plans, tools such as Amplitude, Mixpanel, or similar) and the ability to translate product questions into measurable metrics. Hands-on experience using LLMs (ChatGPT, Claude, Copilot, or similar) in day-to-day analytical work, with an understanding of their strengths and limitations and the ability to verify their output. Ability to create context for LLMs: structured descriptions of data sources, metrics, and business logic; well-crafted prompts and instructions; reusable templates that let AI tools work correctly within the company’s data landscape. Ability to explore unfamiliar datasets and understand their business context. Ability to independently manage tasks from initial requirements through to the delivery of a complete analytical solution.