What Senior BI Consultant does?
• Self-lead client engagements end-to-end — from requirements gathering and solution architecture through to delivery and handover — with minimal supervision
• Own and drive the solution design of enterprise BI architectures, defining best practices, design patterns, and standards across platforms (Tableau, Power BI, MicroStrategy)
• Enhance BI solutions with AI and machine learning — using Python to build time-series forecasting, anomaly detection, and clustering models that enrich dashboards with predictive and prescriptive insights
• Build natural-language-to-SQL and conversational analytics interfaces that let business users query certified datasets in plain English directly from BI tools
• Design and implement Agentic AI capabilities on top of BI platforms — AI agents for automated insight narration (NLG), anomaly alerting, and autonomous report generation — to modernize the end-user analytics experience
• Prototype AI copilots over the enterprise semantic layer using RAG (retrieval-augmented generation) and embeddings/vector search, enabling business users to ask questions and get trusted, governed answers
• Evaluate, adopt, and lead integration of emerging GenAI/AI+BI capabilities (e.g., Tableau Next, MicroStrategy Mosaic, Power BI Copilot) within client environments
• Lead and oversee platform upgrades, migrations, and performance optimization initiatives, ensuring 99.9% uptime and scalability
• Create visibility to the management through interactive, AI-enriched dashboards to monitor performance and raise red flags timely
• Improve analytical infrastructure and conduct deep dives, applying statistical and ML techniques to point out areas of improvement essential for business growth
• Architect robust dimensional and relational semantic layers, translating complex business requirements into scalable, reusable data models and actionable insights
• Define and govern housekeeping standards including content lifecycle management, extract/cache optimization, and user access frameworks
• Collaborate strategically with Data Engineers and Architects on ETL/ELT pipeline design, and write advanced, optimized SQL and Python for complex data extraction, transformation, and model-ready datasets
• Produce and own high-standard project documentation including solution architecture documents, functional specifications, UAT scripts, and client handover manuals
• Champion self-service analytics by designing enterprise-grade reusable datasets, certified metrics, AI-powered natural-language querying, and scalable reporting frameworks for business users
• Mentor and guide junior and mid-level analysts, conducting design reviews and ensuring delivery quality across the team
• Represent Teknosys as a trusted senior advisor at client sites, leading workshops, presentations, and strategic discussions on AI-enhanced BI.