Summary The Talent Intelligence Team directly contributes to the mission and objectives of Scoot through the effective workforce planning and data & statistical analysis. If analyzing data and performing statistical analysis is your kind of thing, then this might be the perfect job for you!
1. Data Analytics Process and Deployment
Work with specific business partners to understand their business challenges and identify areas for analytics deployment
Design analytical solutions, implement algorithms, and perform experiments to define the next generation HR capability
Use advanced data analysis to influence changes to operations, processes, policies and programs
Deploy leading analytics techniques to deepen employee engagement and development
Develop Dashboards to customize and enhance reporting initiatives in Human Resources
Design and deploy data pipelines and solutions to help business make better people decisions
2. Predictive Analytics
Develop Predictive Analytics based on HR requirement
Identify data source and information required to perform predictive Analytics
Identify the relevant tools or system required to ensure consistent review of the analytics
3. Programming & Data
Creativity to see possibilities within the data & translate into decisions and actions for non-technical business users
Provide data management and analytical support to Human Resources
Analyse, identify, visualize and describe key trends within large datasets
Usage of analytical software tools, leading database environments and reporting tools for development of analytical reports
Visualise patterns arising out of data analysis and turn these into compelling stories
4. Projects and Stakeholders Management
Drive or support as a leader or member of initiatives and projects related to Data Analytics
Clear communicator, with the ability to articulate ideas with data
Ability to present in front of the senior stakeholders with confidence and clarity
Adherence to timeline for projects and execution
Management of stakeholders to ensure successful deployment of projects and initiatives
Requirements
Degree in Actuarial Science (Mathematics, Statistics), Engineering, Computer science or a related quantitative discipline is preferred
At least 3 years of experience in Workforce Management, including Workforce Budgeting and developing Workforce Forecasts
At least 2 years of experience in preparing and presenting Workforce and People-related reports for Management
Proven experience working with unstructured data to produce meaningful insights and problem-solve business problems
Skills:
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