Senior Analytics Engineer (Semantic Layer)

Location: Tashkent, Uzbekistan; remote or hybrid

Company

Technology services and product delivery for large-scale AdTech, analytics, and AI-enabled data initiatives.

What you will do

• Design scalable semantic modeling approaches and build canonical analytical models on top of the core data platform.
• Define and govern business metrics with Finance, Product, Ad Operations, Sales, and other stakeholders.
• Translate ambiguous business concepts into tested technical definitions and reusable semantic models.
• Develop dashboards, analytical solutions, and datasets for BI tools, analytical products, and AI agents.
• Reconcile metrics across operational systems, reporting platforms, and financial data while implementing automated testing.
• Maintain documentation, metadata, lineage, and company-wide data standardization processes.

Requirements

• At least 5 years of experience in Analytics Engineering or Data Engineering.
• Advanced SQL skills and commercial experience with dbt or a similar transformation framework.
• Strong knowledge of dimensional, canonical, and semantic modeling, data quality validation, testing, and reconciliation.
• Experience building production-grade BI solutions, analytical products, or semantic and metrics layers.
• Experience with modern cloud data platforms, scalable analytics architectures, and SaaS or AdTech domains.
• Upper-Intermediate English or higher; strong stakeholder collaboration and communication skills.

Nice to have

• Finance and revenue reconciliation experience.
• Experience with multi-tenant analytics environments.
• Experience preparing structured data and metadata for AI/LLM consumption.
• Experience building customer-facing analytics and reporting solutions.

Culture & Benefits

• Opportunity to contribute to large-scale AdTech and analytics initiatives.
• Work with modern data platforms and AI-powered reporting solutions.
• Focus on self-service analytics, trusted reporting, data quality, and long-term scalability.
• Independent work in a fast-paced environment with cross-functional collaboration.