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Job ID: 8425

Job Function: Administration

Institution: National University Health System

Responsibility

Drive business intelligence function at group HR-Centre of Excellence (COE), formulate cluster-wide manpower analytics initiatives and parameters, and monitor the implementation of HR Analytics at NUHS cluster.

Leveraging on data to gain insights that will serve as inputs for developing effective HR initiatives to meet the broad objectives of the organization. This role will also be responsible for day-to-day operations of servicing the needs of various stakeholders for HR reporting, dashboard, predictive analytics (include scenario simulation) and perform data analytics from MyHR (Successfactor) for NUHS cluster, Head Office and Centralized Group level regulatory reporting, data harmonization/alignment and design of Advance reports.

• Leadership and Strategy:
• Develop and implement data analytics strategies aligned with business goals
• Lead and manage a team of data analysts or scientists
• Collaborate with other department heads to identify data-driven opportunities
• Data Management:
• Oversee data collection, creation of warehouse, and quality assurance processes
• Ensure data security and compliance with relevant regulations
• Analytics and Insights:
• Guide the development of advanced analytics models and methodologies
• Translate complex data findings into actionable business insights
• Drive data-driven decision making across the organization
• Technology and Infrastructure:
• Evaluate and implement appropriate data analytics tools and technologies
• Oversee the development and maintenance of data infrastructure, establish CI/CD practices for deploying analytics models and dashboards reliably and securely
• Reporting and Communication:
• Present findings and recommendations to senior management and stakeholders
• Develop and maintain dashboards and reporting systems

Qualifications:

• Education:
• Degree or higher in a relevant field such as Data Science, Statistics, Computer Science, or Business Analytics
• Experience:
• At least 8-10 years of experience in manpower planning analytics and modelling with strong ability to summarise, visualise, and present data for decision making.
• Good understanding of HR systems (especially SuccessFactors) and business intelligence databases.
• Technical Skills:
• Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL) and cloud-based data architecture (AWS S3, Databricks, Spark and Delta lake)
• Knowledge (hands-on) on of machine learning, CI/CD pipelines and statistical modeling techniques, including advanced Excel skills
• Strong data visualization tools (e.g., Tableau, Power BI) and PowerPoint presentation skill
• Soft Skills:
• Strong leadership and team management abilities
• Excellent communication and presentation skills
• Strategic thinking and problem-solving capabilities
• Business acumen and ability to translate data insights into business value