Analyze workforce and labor-market data, prepare HR reports, build dashboards, develop data pipelines, and generate insights for workforce planning. The role partners with HR and business stakeholders to define metrics, investigate trends and forecast variances, improve reporting, and use statistical analysis to inform operational, policy, and process decisions.
Summary
The Talent Intelligence team directly contributes to the mission and objectives of Scoot through the effective workforce planning, data & statistical analysis and dashboard building. If analyzing data and dashboard building/storytelling is your kind of thing, then this might be the perfect job for you!Job Description
Data Reporting & Analytics
- Research and provide updates and advisories of key labour data and market trends to stakeholders, and monitor changing labour landscape to identify potential data required for policy formulation and decision making
- Prepare and distribute reports (scheduled and ad-hoc) which includes analysis on people and workforce-related metrics to stakeholders
- Collaborate with Manpower Planning team to create meaningful workforce-related metrics dashboards based on stakeholders' persona
- Mine insights from various data points in Scoot to facilitate meaningful analysis and generate insights for effective workforce planning
- Analyse trends and provide input on improving metrics including forecast vs actual variances and hire-to-budget fill rates
- Use data analysis such as statistical analysis, to influence changes to operations, processes, policies and programs
HR Data Analytics Process and Deployment
- Develop, Build and Maintain Dashboards to customize and enhance reporting initiatives in Human Resources
- Design and deploy data pipelines and solutions to help business make better people decisions
- Work with specific business partners to understand their business challenges and identify areas for analytics deployment
- Support as a member of initiatives and projects related to Data Analytics
Requirements
- Degree in Business, Actuarial Science (Mathematics, Statistics), Engineering, Computer science or a related quantitative discipline is preferred
- Proficient in Excel and Data Visualisation Tools (i.e. Tableau)
- Proven experience working with unstructured data to produce meaningful insights and problem-solve business problems
Scoot Singapore, Singapore, SGP Office
Singapore, Singapore
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