About The Role

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.

The Roadmap

Phase 1: Months 1–12: Focus on data architecture, pipeline development, and creating a single source of truth.
Phase 2: Months 12+: Transition toward advanced analytics, predictive modeling, and deep-dive workforce insights.

About The Job

HR Data Engineering & Infrastructure (Phase 1)

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.

HR Reporting & Analytics (Phase 2)

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.

Must have

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

Good to have

Exposure to AI tools and their application in HR is a bonus
Knowledge of statistical analysis and predictive modeling