Senior Workforce Intelligence Analyst
Crusoe · Denver, CO - US
About this role
## Senior Workforce Intelligence Analyst **About Crusoe** Crusoe is on a mission to accelerate the abundance of energy and intelligence. As a vertically integrated AI infrastructure company, we build and operate every layer of the stack—from electrons to tokens—to power the world’s most ambitious AI workloads. We’re in the midst of the greatest industrial revolution of our time. Demand for AI compute is boundless, and power is a bottleneck. We’re solving that with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. --- ## About the Role In this role, you’ll own the “last mile” of our People team’s analytics experience by building an **AI-powered self-service analytics suite** on top of our **single, secure, enterprise-grade data platform**. You’ll drive adoption through a hybrid strategy: - Enable the People team to use our **governed self-service suite** with **pre-packaged HR dashboards & insights** built in **Visier** - Help them build their own content and analyses using **Claude**, connected to the same modeled data powering Visier As a **Senior IC**, you’ll own **Visier end-to-end**, set the self-serve analytics roadmap, and have real latitude in how it’s built out. You’ll partner directly with **Talent Acquisition, Employee Success Partners, Total Rewards, People Operations**, and senior members of the **People Science** team to define the metrics, context, and AI-ready documentation that help them find answers without waiting on an analyst. --- ## What You’ll Be Working On - **Own the Visier Platform**: technical and functional ownership including configuration, metric definitions, security models, release management, and primary POC for the vendor relationship - **Build & extend Visier content**: metrics, boards, alerts; expand into new data subjects as new systems are onboarded - **Manage integrations** between the data platform and Visier, partnering with Data Engineering on upstream models - **Own data quality**: define checks, triage failures, and drive fixes back to source systems (not downstream patches) - **Drive AI & self-service analytics**: ensure AI-assisted answers and Visier dashboards align; evaluate AI outputs critically and identify missing context - **Document data models & business logic**: include known caveats so the platform is usable for both non-analysts and AI tools - **Design access & aggregation rules** for sensitive people data (including compensation and performance) - **Partner & enable the People team**: embedded discovery, synthesis, and executive-level communication of insights --- *Note: The provided description ends mid-sentence (“Move the function from ad hoc pulls...”).*
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