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Job Description & How to Apply Below
Role: HR Data Analyst
Location:
Abu Dhabi Role purpose:
Provide support in managing MIS reporting to improve HR process workflow, information management.
Support overall workforce planning strategy.
Key accountabilities of the role: MIS & Workforce Planning / HRMS / Finance:- Manage head count planning model to forecast head count for ADIB
- Liaise with all ADIB divisions to verify Head count statistics for all their staff details on monthly basis
- Work in partnership with Strategy & Financial Control department on area of MIS and workforce strategic planning efforts to make recommendations of workforce cost to ADIB management
- Collect head count requests from all divisions and provide detailed and summarized input for Strategy department for the preparation of the manpower budget
- Promote equality and propose ideas to management to embrace the Emiratization agenda within the workforce planning process
- Report on variance of actual head count against Emiratization head count target for each division to management
- Prepare HR related MIS executive summary reporting for ADIB Groups and Central Bank
- Involved in HR Systems Information and HR Projects
- Maintain a comprehensive awareness of current HR issues and co-ordinate with ITD to continuously improve and optimize information systems performance, operational efficiency, and deliver quality service
- Work with management to prioritize business and information needs
Required skills:
- Proven working experience as a data analyst or business data analyst
- Hands-on experience MIS analysis
- Familiarity with Human Resources software
- Knowledge of statistics and experience using statistical packages for analyzing datasets like (Excel)
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Ability to engage across organization levels
- Excellent verbal and written communication skills
- B.Sc. in Mathematics, Economics, Computer Science, Information Management, Statistics, or any other relevant field.
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