We are looking for a hybrid HR Data Engineering & Analytics Manager to lead the technical evolution of our People data. For the first 12 months, your mission will be largely foundational: you will act as the primary architect and engineer, designing and building our first HR Data Warehouse.

Thereafter, you will transition from a heavy data engineering focus—solving complex integrations and building scalable pipelines—into a strategic analytics partner. You will help our HR teams leverage this robust foundation to make informed, data-driven decisions regarding our diverse workforce.

About the Job :

• Understand and map out the current HR data landscape.
• 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, etc.
• 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.

About You :

• 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.
• Good to have a Knowledge of statistical analysis and predictive modeling.

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