Senior Workforce Intelligence Analyst

Building on our team’s single, secure, enterprise-grade data platform, this role owns the last mile – building out an AI-powered self-service analytics suite so the People team can make data-driven decisions in the flow of their work You will drive this adoption through a hybrid strategy. Enabling the People team on how to use our governed self-service suite with pre-packaged HR dashboards & insights built in Visier, as well as building their own content and analyses using Claude, connected to the same modeled data powering Visier As a Senior IC, you will own Visier outright, set the self-serve analytics roadmap, and have real latitude in how it’s built out. You will partner directly with Talent Acquisition, Employee Success Partners, Total Rewards, People Operations, and senior members of the People Science team to understand their goals and build the metrics, context, and AI-ready documentation that lets them find their own answers without waiting on an analyst Serve as the technical and functional owner of Visier: configuration, metric definitions, security models, release management, and the primary POC for our vendor relationship Build and extend Visier content (metrics, boards, alerts) and expand into new data subjects as we onboard new systems Manage the integration between our data platform and Visier, partnering with Data Engineering on upstream models Own data quality: define the checks, triage failures, and drive fixes back to the source system rather than patching them downstream Ensure consistency so an AI-assisted answer and a Visier dashboard always align. Evaluate AI outputs critically and know what missing context caused a wrong answer Document data models, business logic, and known caveats. Treat context as a core deliverable to make the platform usable for both non-analysts and AI tools Experience designing access and aggregation rules for sensitive people data, including comp and performance Act as an embedded partner to TA, Total Rewards, People Ops, and Business Partners. Conduct discovery, synthesize findings, and communicate insights up to the executive level Move the function from ad hoc pulls to a durable reporting cadence built around meaningful organizational health and talent delivery insights Build and run enablement (training, office hours, documentation) to raise the data literacy of the HR function. Teach them how to explore data, interrogate AI generated insights, verify against sources of truth, and know when to elevate Help build and deliver the self-service analytics roadmap. Translate business questions into deliverables, and know when to push back if the real answer is a process or systems or process fix rather than a dashboard Bring a point of view. Connect the dots between business objectives and data Benefits Health & wellbeing: Comprehensive health benefits designed to support your overall wellness Time away: Paid time off for vacations, family bonding, and unexpected needs 401(k) match: Build your financial future with our 401(k) matching program Mental wellness: Resources and support for your emotional wellbeing and navigating life’s challenges Requirements Ability to work independently, prioritize concurrent workstreams, and handle sensitive data with total discretion Fluency in the HR domain: you deeply understand recruiting, compensation, performance, and org structure, and know how underlying systems actually record this data Strong SQL skills and comfort working directly in a cloud data warehouse 4+ years in people analytics, HR technology, or a closely related role Demonstrated experience enabling others, whether through training, documentation, or converting a reporting backlog into self-service Hands-on Visier experience: You must have gone through at least one implementation or meaningful capability expansion (deploying Visier or standing up new data subjects in an existing tenant) A pragmatic approach to data governance. You know how to balance standardized dashboards for large audiences and enable exploration for your clients Analytics Engineering capability: Experience with dbt, version control, CI/CD, and dimensional modeling. If you can own the transformation layer and not just the presentation layer Understanding of how to expose warehouse data to LLMs or agentic interfaces (semantic layers, MCP) Experience with our specific stack: Rippling, Workday, Ashby, Lattice, TeamOhana, BigQuery Experience using other BI platforms (Power BI, Tableau, Sigma) alongside Visier Experience in high-growth or infrastructure environments where change is constant and part of the fun #J-18808-Ljbffr Crusoe Energy Systems