Senior Analytics Engineer

📋 Description

• Build proactive analytics and AI solutions that surface actionable business insights, anticipate
• Design and develop AI-powered analytics tools, including conversational interfaces that allow
• Build semantic data models and reusable analytics products that optimize enterprise data for AI
• Design, develop, and deploy LLM-powered applications, AI agents, and agentic workflows using modern
• Partner cross-functionally with Product, Engineering, and business stakeholders to identify
• Build scalable enterprise analytics solutions by integrating cloud data platforms, semantic models

🎯 Requirements

• 8+ years of experience across Analytics Engineering, BI, Data Engineering, AI, or related fields
• Minimum 3 years designing, developing and implementing end-to-end AI solutions for analytics
• Strong expertise in business analytics, KPI design, analytical data modeling, and metric governance.
• Advanced programming skills in Python and strong SQL expertise.
• Experience designing scalable data architectures and analytics platforms.
• Hands-on experience building production AI applications using Large Language Models (LLMs).

🎁 Benefits

• Experience with enterprise analytics copilots or conversational analytics platforms.
• Experience with Microsoft Fabric, Azure AI Foundry, Azure OpenAI, Power BI semantic models
• Knowledge of vector databases, semantic search, and modern AI infrastructure.
• Experience with Docker, Kubernetes, CI/CD, observability, and Responsible AI practices.
• Familiarity with Model Context Protocol (MCP) or similar enterprise AI integration patterns.