Agentic Development for Analytics: Subagents & Skills in Analytics

🎦Job market insights and forecasts for 2026
🗣️Spectrum IT Recruitment - Steve Wright and Dave Carlisle

In this talk, Steve Wright and Dave Carlisle from Spectrum IT Recruitment share their insights into the current job market and what to expect as we move towards 2026. Drawing on their experience working closely with employers and candidates across the tech sector, they’ll explore key hiring trends, in-demand skills, and how the market is evolving. Attendees will gain practical insight into what these changes could mean for their careers or hiring strategies, along with informed predictions to help plan for the years ahead.

🎦 Agentic Development for Analytics: Subagents & Skills in Analytics Engineering
🗣️Mihaly Kavasi

Manual DAX optimization, brittle ETL pipelines, and repetitive data quality checks consume 80% of analytics development time. The future is agentic AI—where specialized subagents autonomously handle data pipeline automation, semantic model development, and quality monitoring while portable skills provide reusable analytics expertise. Discover how this orchestrator-worker pattern can transform data engineering and BI development.
What you'll master:
Architect multi-agent analytics workflows using specialized subagents for data pipeline automation, DAX generation, and semantic model optimization
Leverage Power BI MCP servers that convert natural language into DAX queries and automate Tabular Object Model (TOM) development tasks
Build intelligent data pipelines where AI agents detect schema changes, adapt transformations automatically, and reduce data quality incidents by 70%
Create portable analytics skills packaging DAX patterns, SQL optimization techniques, and data modeling best practices into reusable agent expertise
Design specialized subagents for code review (finding 31+ issues in Power BI models), testing, documentation, and end-to-end report generation
Automate enterprise analytics tasks including metadata generation, data quality monitoring, exploratory data analysis, and semantic layer maintenance

Experience live demonstrations of AI agents building Power BI reports end-to-end, generating optimized DAX measures, and autonomously maintaining data pipelines that adapt to changes without breaking.