Data Administrator

Career Moves Group

Posted 8 hours ago, valid for 12 days

Birmingham, West Midlands B27 6QS, England

Part Time

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Sonic Summary

We are seeking a detail-oriented HR Systems Administrator for a hybrid role, requiring 35 hours of work per week from Monday to Friday.
The position offers a rate of £150 - £200 per day and falls inside IR35 regulations.
The successful candidate will be responsible for data administration tasks within SAP HCM and providing second-line support for the Learning Management System.
Ideal candidates should have experience with SAP HCM, a data-oriented mindset, and strong attention to detail, along with excellent communication skills.
Candidates should possess a proven track record in data administration and experience working with data in a large-scale organization.

Data AdministratorRate: £ 150 - £200 per day (Inside IR35)Hours: 35 hours per week, Mon – Fri (Hybrid)OverviewWe are seeking a detail-oriented HR Systems Administrator -This role is vital in ensuring the accurate processing of data and providing support across key HR systems, primarily SAP HCM and the Learning Management System (LMS). The successful candidate will handle administrative tasks and offer second-line support to colleagues.Main ResponsibilitiesPerform data administration tasks within SAP HCM, including:Maintaining the organisational structure and learning-related dataProvide basic second-line support for LMS-related queries and ticketsEnsure all data entry and processing activities meet quality and accuracy standardsCollaborate with HR team members and other stakeholders to ensure consistent and reliable HR system performance.Are You the Right Candidate?We’re looking for someone who brings a blend of technical proficiency, data accuracy, and effective communication. The ideal candidate will have:

Experience with SAP HCM, particularly with HR organisational objects and their attributes
A data-oriented mindset with a proven track record in data administration
Strong attention to detail and the ability to work independently with minimal supervision
Experience working with data in a large-scale organisation
Excellent communication skills—verbal, written, and listening—used to engage with colleagues at all levels

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