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HR Analytics Assistant Manager

HR Analytics Assistant Manager

KredivoWorkFromHome, Singapore, Singapore
8 days ago
Job description

About the Role

We're looking for an HR Analytics Assistant Manager to support the HR Systems & Analytics Lead in building and maintaining our people analytics capabilities. You'll be a key partner to our HR teams, helping them leverage data to make informed decisions and improve our workforce strategies. This hands-on role requires a strong analytical mindset and a passion for turning data into actionable insights.

What You'll Do

HR Systems & Data Management

  • Map out all HR data and develop data pipelines to integrate various HR data sources.
  • Ensure the integrity and accuracy of HR data by performing regular audits and data cleansing activities.
  • Help maintain and optimize the HR systems that feed our analytics function.
  • Assist in connecting different HR systems and data sources to ensure a unified view of the workforce.

Data Analysis & Reporting

  • Design and build self-service dashboards for leadership and HR teams, helping them understand key metrics like hiring trends, turnover, and employee engagement.
  • Analyze workforce data to identify trends, predict future needs, and uncover opportunities for improvement.
  • Develop and generate routine and ad-hoc reports on HR performance and key metrics.

    • Process Improvement and Data Advocacy

  • Use data to identify bottlenecks and inefficiencies in HR processes.
  • Partner with HR teams to support the implementation of new, data-driven improvements.
  • Assist in creating documentation and user guides for new dashboards and analytics tools to promote data literacy across the HR function.

    • What You'll Need

  • 4-6 years of experience in a People Analytics role.
  • Experience with programming languages for data analysis (e.g., Python, R, SQL).
  • Prior experience in building a central HR data repository by integrating multiple data sources
  • Strong analytical and problem-solving skills , with the ability to draw meaningful conclusions from complex datasets.
  • Excellent communication skills and can explain complex data to non-technical audiences.
  • Experience with data management and ensuring data quality .
  • Exposure to AI tools and their application in HR analytics.
  • Knowledge of statistical analysis and predictive modeling.

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