Product Analyst

The Open Platform builds infrastructure and consumer applications on the TON Blockchain to drive crypto adoption through Telegram. It provides SDKs, APIs, wallets, and other Web3 tools for builders, while supporting companies in the Telegram and TON ecosystem through TOP Labs.

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About The Open Platform

The Open Platform develops TON Blockchain infrastructure and consumer applications for Telegram’s global user base. Its products include TON API, TAC for deploying EVM smart contracts on TON, STON.fi swap infrastructure, PlayDeck gaming tools, Getgems, and Wallet in Telegram. The organization serves Web3 developers, crypto users, and companies building products for the Telegram and TON ecosystem, and operates TOP Labs as a venture-building platform.

View jobs by The Open Platform

Skills

About the Role

You will build and document data marts, dashboards, reports, and monitoring systems for key metrics. You will define business metrics, analyze product funnels and experiments, use AI tools in analytical workflows, handle ad hoc research, and turn findings into recommendations for product and business stakeholders.

Requirements

  • 3+ years of experience as a Data or Product Analyst
  • SQL, including complex queries, CTEs, window functions, aggregations, and query optimization
  • Data mart design and development
  • BI tools and dashboard creation
  • Product analytics, including funnel, cohort, retention, unit-economics, and A/B-test analysis
  • Event-based analytics and tracking plans
  • LLM use in analytical work and output verification
  • Data-source, metric, and business-logic documentation for LLMs
  • Dataset exploration and business-context analysis
  • End-to-end analytical solution delivery

Responsibilities

  • Create and enhance dashboards, reports, and systems for monitoring key metrics
  • Explore data sources and document data marts, metrics, and entity relationships
  • Establish consistent business-metric definitions and contribute to data governance
  • Define and track funnels, retention, activation, and engagement metrics
  • Evaluate A/B tests and feature launches and recommend actions
  • Use LLMs for data exploration, documentation, and report drafting
  • Conduct ad hoc research and urgent analytics requests
  • Collaborate with analysts, developers, data engineers, and product teams

Benefits

  • Remote setup with access to hubs in Dubai, Yerevan, London, and Belgrade
  • Medical-expense compensation
  • Necessary equipment
  • Access to advanced AI models via mira.tg
  • 20 working days of paid vacation annually
  • 11 days off per year
  • 14 days of paid sick leave