Analytics Engineer (People Team)
- Databricks experience essential
- Design, build, and maintain ETL/ELT data pipelines supporting People Analytics use cases.
- Develop scalable models and schemas to integrate data from HRIS, ATS, learning platforms, engagement tools, and other people‑related systems.
- Ensure data quality, governance, and security across sensitive HR datasets.
- Implement monitoring, testing, and automation to maintain robust pipelines.
- Partner with the People team to translate business questions into data requirements and technical solutions.
- Build self‑service dashboards and metrics in tools such as Looker, Tableau, Power BI, or similar.
- Create standardised reporting frameworks for KPIs such as hiring funnel metrics, headcount, retention, performance, compensation, and DEI insights.
- Support modelling for workforce planning and scenario forecasting.
- Work cross‑functionally with Data Engineering, Finance, Legal, and other stakeholders on shared datasets and processes.
- Provide technical thought‑leadership on People data infrastructure and best practices.
- Communicate complex concepts clearly and concisely to non‑technical HR stakeholders.
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