People Data & Analytics Specialist

• Map out what people data we have (and where it lives) • Clean it up, structure it, and make it usable • Coordinate across functions to maintain data quality maintenance • Help define consistent metrics (headcount, attrition, hiring, etc.) • Work with People Ops, Finance, and systems owners to fix gaps • Move us away from one-off reports and manual pulls • Create repeatable, reliable reporting • Own core dashboards (headcount, attrition, hiring, diversity, etc.) • Make sure numbers actually reconcile across teams • Upskill the team on basic reporting and use of tools • Build simple, clear dashboards for: • People team • Leadership • Focus on insight, not just data dumps • Use modern tools (BI platforms, not just spreadsheets) • Partner closely with C&B on: • Gather all the benefit data from various sources and systems • benefits usage and cost analysis • pay analysis • Bring ideas on how we can use AI/tools to: • automate reporting • surface insights faster • reduce manual work • We’re not looking for hype - just practical improvements that work • Work across HRIS, ATS, payroll, and other tools • Help improve data flows and integrations (with support from tech where needed) • Be the person who actually understands how people data connects end-to-end

• 1–5 years experience working with data, analytics, or BI • Preferably come from a tech, SaaS, or product-led environment • Built dashboards and reporting in a real business setting • Strong google sheets and excel user • Essential to be comfortable with SQL and know the basics of python or dbt modelling • Are comfortable working in messy or evolving data environments • Turning unclear questions into structured analysis • Explaining data in a way non-data people understand • Spotting inconsistencies and fixing them • Balancing detail with speed (not over-engineering everything) • Have exposure to people/HR data, compensation, or workforce analytics • Have worked with multiple systems and data sources