People Data Analyst

Join our People team as a People Data Analyst, where you'll be the key link between People Systems, Data Engineering, and People leadership. In this role, you'll translate raw People and business data into actionable insights that shape our hiring, organization, and growth strategies. You'll have the opportunity to build our analytics function from the ground up, define core People metrics, and connect People data to broader business metrics. Additionally, you'll own data quality and governance for People analytics and conduct ad hoc analyses to answer emerging business questions.

• Collaborer avec les équipes d'ingénierie des données et des systèmes de personnes pour définir le modèle de données qui sous-tend notre pile de personnes.
• Concevoir et construire des tableaux de bord et des rapports d'auto-service, et être responsable de leur précision et de leur adoption.
• Définir et standardiser les indicateurs clés de performance des personnes, tels que le temps de recrutement, l'attrition, et la planification des effectifs.
• Demonstrated experience with core People/HR metrics and the employee lifecycle including recruiting funnel, headcount planning, attrition, compensation, performance and how they’re typically modeled
• Experience partnering with engineering or data engineering teams to define data models and requirements - you can speak both “business question” and “data model” fluently
• 6+ years of experience in data analytics, business intelligence, or people analytics, with a track record of delivering insights that influenced real business or People decisions
• Hands-on experience building dashboards and reports in a BI tool such as Looker, Tableau, Superset including the underlying data modeling, not just the visualization layer
• Strong SQL skills and comfort working directly in a modern data warehouse (e.g. Snowflake, BigQuery, Redshift) to build and maintain your own queries and data models, rather than relying solely on pre-built tables
• Experience with Rippling or similar HRIS platforms, and familiarity with how ATS, finance, and workforce data typically integrate with HR systems
• Experience using AI tools (e.g. LLM-powered analysis, natural language querying over structured data, AI-assisted reporting) to scale analytics work and reduce manual reporting burden
• Experience supporting People analytics in manufacturing, defense, or other complex multi- population environments (e.g. exempt and non-exempt populations across multiple sites)
• Prior experience as the first or founding People analytics hire at a high-growth company, building reporting infrastructure rather than maintaining an existing one
• Comfortable operating with high autonomy in a fast-moving, ambiguous environment — you can define your own roadmap in partnership with stakeholders rather than waiting for fully-scoped requirements
• Direct experience partnering with a People Systems or engineering function to define a Peopledata model from the ground up