Data Analyst

- Support the entire HR cycle relating to performance management and employee engagement, including compensation and benefit reviews and all associated analytics and reporting requirements.

- Maintain the accuracy and integrity of a large volume of employee data for the business units, working closely with HR Competence Centers to validate structure, cost centers, reporting lines and employee movements.

- Support People Partners with all talent management activities, by preparing and consolidating data to present to Senior Management and key stakeholders.

- Assist with the creation and reporting of HR manpower budgets, and report on current and future status using all available Power BI dashboards.

- Act as a central point of contact for the consolidation of all People data to support decision making within the business unit.

- Ensure alignment with salary scales by mapping designations and grading between staff in the region.

- Conduct People Cost Analysis and Variance Analysis between budget and Actuals, providing commentary where necessary and highlighting discrepancies.

- Review employee data and align any discrepancies while adhering to a central benchmark.

- Ensure organization charts for business unit are kept up to date and circulated as required.

- Provide basic analysis and project management support on for ad hoc projects and initiatives.

- Proactively participate in all relevant projects and community activities as part of the wider People Team.

- Assist in reviewing and documenting policies based on People Partner request and in collaboration with the relevant competence center.

- Continually consider new ways of working and highlight any suggested process or efficiency enhancements which would benefit the team or the business.

- Act as a go to person for all “non-technical” support on existing HR platforms (DRIVE, PLANO , MyChalhoub, etc.) and escalate when needed.

What You’ll Need To Succeed

- Working knowledge of HR best practices and industry standards

- Resilient and able to effectively balance multiple priorities in line with deadlines

- Able to work in a fast-pace, matrixed environment

- Passionate about data and data visualization tools