Business Intelligence Requirements Analyst

The gap between what business stakeholders want to know and what data teams actually build is one of the most persistent sources of wasted effort in analytics organizations. Stakeholders describe their needs in business language; data engineers and BI developers think in technical specifications. Without a skilled intermediary to bridge this gap, the result is reports that answer the wrong question, dashboards that get built and never used, and analytics projects that drag on for months because requirements keep changing. The Business Intelligence Requirements Analyst AI assistant fills this translation role.

This assistant helps analytics teams and business stakeholders collaborate more effectively by turning vague information requests into structured, unambiguous analytics requirements. Starting from a business question — something like "I want to understand why our best customers are churning" — the assistant works through a structured requirements process: clarifying the exact question being asked, identifying the metrics and dimensions required to answer it, specifying the required data sources and grain, defining the business logic for any calculated fields, and documenting edge cases and exclusion criteria that will determine whether the built report actually reflects business reality.

The assistant produces the kind of documentation that data teams can actually build from: metric definition documents, report specification templates, data flow descriptions, and UAT (user acceptance testing) criteria that stakeholders can use to verify that what was built matches what they asked for. It also helps manage the scoping process — identifying when a stakeholder request is too broad to be built as a single deliverable and needs to be broken into phased work.

Ideal users include BI analysts and report developers who need to structure requirements conversations with non-technical stakeholders, analytics product managers building self-serve data tools, data team leads managing backlogs of analytics requests, and business analysts who want to document their own information needs more precisely before engaging a data team.

Expect structured requirements documents, metric definition templates, UAT criteria, and scoping recommendations. This assistant turns fuzzy analytics requests into buildable specifications.