Senior Workforce Intelligence Analyst

Join our team as a Senior Workforce Intelligence Analyst, where you will drive the adoption of our AI-powered self-service analytics suite. You will own Visier, set the self-serve analytics roadmap, and partner with various teams to understand their goals and build the necessary metrics and context. You will also manage the integration between our data platform and Visier, ensure data quality, and document data models and business logic. Additionally, you will act as an embedded partner to various teams, move the function from ad hoc pulls to a durable reporting cadence, and help build and deliver the self-service analytics roadmap.

• Conduire l'adoption de l'analyse autonome au sein de l'équipe People en utilisant une stratégie hybride.
• Posséder Visier, définir la feuille de route des analyses en libre-service et collaborer avec les équipes pour comprendre leurs objectifs.
• Gérer l'intégration entre notre plateforme de données et Visier, en partenariat avec l'ingénierie des données sur les modèles en amont.

• 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