Act as the primary architect and engineer in designing and building the HR Data Warehouse.
Focus on data architecture, pipeline development, and creating a "single source of truth".
Build and maintain robust data pipelines to integrate various HR sources into a central repository.
Create and review technical documentation, including data models, data dictionaries, architecture diagrams, and process and data flows.
Collaborate with management, business partners, analysts, developers, architects, and engineers to support data quality efforts.
Solve for complex data integrations across multiple systems.
Develop and generate routine and ad-hoc reports on HR performance and key metrics.
Design and build self-service dashboards that help leadership understand hiring trends, turnover, and engagement.
Analyze data to identify trends, predict future needs, and uncover bottlenecks in HR processes.
Partner with HR teams to promote data literacy, providing user guides and training for new analytics tools.

4–6 years of experience in Data Engineering, Data Warehousing, or People Analytics.
Prior experience in building central data repositories by integrating multiple complex data sources
Good proficiency in writing SQL, either in RDBMS (i.e. MySQL, PostgreSQL, etc) or OLAP (i.e. BigQuery, Redshift, Oracle, etc.)
Ability to write robust and scalable code in Python or other scripting programming language
Basic proficiency or experience in infrastructure setup using cloud services (i.e. AWS, GCP, Azure)
Strong ability to explain complex technical architectures or data trends to non-technical HR stakeholders.
Strong ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines in a dynamic environment
Good communication skills in Bahasa and English (Written & Verbal)
Capacity to apply discretion and maintain a high level of confidentiality when handling sensitive information
Exposure to AI tools and their application in HR is a bonus
Knowledge of statistical analysis and predictive modeling

HR Data Engineering – Analytics Manager

Key skills