- Translate client business frustrations into technical solutions as a trusted advisor.
- Guide clients in making their data usable.
- Train and enable client teams.
- Model business needs into scalable semantic layers.
- Write DAX and Power Query to improve data reliability.
- Own delivery from data source through model and visualization to decision.
- Interrogate client data models using MCP servers and Claude to prototype and pressure-test solutions.
- Turn discovery calls into working prototypes using the AI publishing layer.
- Build reusable skills and tools for recurring client problems.
- Review AI-generated work for modeling and join errors.
Artificial IntelligenceMicrosoft Power BIData analytics