Overview
The Human Resources Assistant (Data and Operations Support) will provide data support across key focus areas within the People & Culture (P&C) team, contributing to the development of new reporting products, dashboards, and analytical tools.
Key Responsibilities
- Provide specialized support in the development and maintenance of Power BI dashboards and online management reporting tools
- Analyze data to generate actionable insights and strengthen ongoing projects
- Support the development and regular monitoring of reporting frameworks to enhance HR business partnering, efficiency, and effectiveness
- Contribute to workforce planning by supporting the establishment of robust data frameworks and reporting processes
- Monitor and analyze Organizational Culture Survey results and related action plans
- Support the rollout of key initiatives across the Supply Division’s P&C function
- Provide flexible support to emerging priorities and new initiatives within the Centre
- Assist in the preparation of meetings, webinars, and presentations for Supply Division stakeholders
- Contribute to supply function rotation exercises, including data management, analysis, and reporting
- Maintain and update HR datasets to support workforce planning and benchmarking
- Produce regular reports and key performance indicators (e.g., gender and geographical balance)
- Support the standardization of reporting related to attendance, payroll, and contract management in line with HR policies
- Compile and analyze data related to post structures and staffing
Required Experience
- At least 2 years of relevant professional work experience at the national and/or international level.
- Solid data and analytical skills, with the ability to interpret and draw meaningful insights from HR data.
- Acquired experience with data analysis and visualization tools, including Excel and Microsoft Power BI dashboard development.
Qualifications
Bachelor's degree in a relevant area, e.g., Data Science, Statistics, Business Administration, Information Management or Social Sciences with strong quantitative components, or other relevant disciplines.
