Internship Data Visualization Consultant

Most business users still navigate dashboards using slicers and dropdowns, which is efficient for analysts, but can be frustrating for business decision-makers. While AI features like Q&A and Copilot exist in Power BI, they are mainly design-time helpers and rarely used for real interactive exploration.

This internship aims to design a search-first dashboard experience where a user can type a query like “Top 5 customers in Belgium” and instantly see the relevant visual, using existing Power BI capabilities (text filter, Q&A, bookmarks, dynamic titles, smart narratives...). But, the project must also explore the use of Model Context Protocols (MCPs) to describe and expose the underlying Power BI data model in a structured, machine-readable way. This enables more intelligent, context-aware search and interaction, bridging traditional BI with conversational and AI-driven analytics.

Think “Copilot-like experience,” but actually working today.

Objective

By the end of the internship, the student will:

• Build a functional search-driven Power BI dashboard prototype
• Combine Q&A, text filtering, bookmarks and dynamic visuals
• Conduct usability testing comparing slicers vs search-first interaction
• Prototype a lightweight MCP-like metadata layer describing the Power BI model
• Experiment with using MCPs to guide search intent parsing (linking queries like ‘top customers in Belgium’ to relevant DAX measures and visuals)
• Deliver a reusable framework + internal demo for Sopra Steria consultants