Senior Engineer, BI, AI Analytics

As a Business Intelligence Engineer / BI Developer, your role involves designing scalable semantic layers, building advanced dashboards, and creating AI-driven insights to support data-driven decision-making. - Design, develop, and maintain BI dashboards and reports using Power BI / Tableau. - Integrate Large Language Models (LLMs) and AI algorithms into BI solutions for automated insights and reporting. - Build and optimize semantic data models/layers for scalable analytics. - Develop advanced DAX calculations, Power Query (M) transformations, and data modeling in Power BI. - Write efficient SQL queries to extract, transform, and validate data from multiple sources. - Create meaningful data visualizations, interactive dashboards, and KPI frameworks. - Collaborate with business teams to implement self-service analytics solutions. - Support BI architecture, data governance, performance tuning, and best practices. - Ensure data accuracy, reliability, and alignment with business goals. To excel in this role, you should have: - Strong hands-on experience with Power BI, Tableau, or other BI tools. - Advanced skills in DAX, Power Query (M), and data modeling. - Proficiency in SQL and working with relational databases. - Experience in LLM integration, AI-driven reporting, or generative AI analytics. - Solid understanding of semantic layer design and BI architecture. - Expertise in data visualization, dashboard development, and KPI design. - Ability to implement self-service analytics frameworks across business teams. - Strong problem-solving, communication, and stakeholder-management skills. Preferred qualifications include: - Experience with Python/R for data automation or ML (optional). - Exposure to Azure/AWS/GCP data platforms. - Knowledge of data governance and performance optimization.,