BI Analyst/Developer

1. Build out BI dashboards for the new dimensional models
   • Once the dimensional modeling work is done in Databricks, Sigma can be used to query and visualize that structured data.
   • They’ll need dashboards that connect to the newly governed, centralized datasets for their 3 upcoming use cases.
2. Create a self-service analytics layer for business teams
   • Sigma is designed to be more user-friendly for non-technical stakeholders, so once governance and permissions are in place, they can give business teams controlled access to explore data without going through engineering for every request.
3. Ensure governance flows through to reporting
   • Because governance is a big focus, they’ll want the BI layer to respect data permissions, data cataloging, and stewardship practices set up in the modeling phase. Sigma integrates with those controls so the “single source of truth” is maintained.
4. Accelerate adoption of the new data platform
   • Sigma can serve as the visible front-end of their investment in Databricks, helping leadership and teams see value quickly through interactive reports and KPIs tied to operational and (later) sales analytics.

In short, they probably want someone who can connect the dots between the data architecture they’re building, the governance model, and how Sigma can be used to deliver actionable insights to end users