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Mae'r hysbyseb swydd hon wedi dod i ben ac mae'r ceisiadau wedi cau.
Database Manager
| Dyddiad hysbysebu: | 13 Ionawr 2025 |
|---|---|
| Cyflog: | £29,970.00 i £36,483.00 bob blwyddyn |
| Gwybodaeth ychwanegol am y cyflog: | £29970.00 - £36483.00 a year |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 03 Chwefror 2025 |
| Lleoliad: | Leicester, LE5 4PW |
| Cwmni: | NHS Jobs |
| Math o swydd: | Parhaol |
| Cyfeirnod swydd: | C9358-25-0045 |
Crynodeb
Data Imports, Development, Selections and Extracts Manage the process of uploading timely and accurate data, so that all supporter transactions, preferences, contact details and other data are continually updated and always accurate Continually assess the data needs of the Charity team and work to identify improvements Manage the process of selections and extracts in support of all fundraising activity. Receive and interpret data extract briefs from team colleagues managing appeals. Ensure that there is a systematic and planned approach to managing every selection and extract Adhere to and implements Charity Policies and Procedures including data protection act and GDPR. Data analysis and Integrity Create, modify and run agreed weekly/monthly reports for the Charity team providing insight from the databases about the success of their activity. Run ad hoc analysis reports as requested by colleagues, and advise where further reporting and analysis could add value. Run statistical analysis of data sets to further understand target fundraising audiences. Develop robust processes that drive improvements in data integrity ensuring improved reliability of the data held on the database. Help drive improvements in the accuracy and cleanliness of data held. Planning & Organisation Will be expected to plan own ongoing work and adjust plans according to requirements for deadlines. Ensure that all requests for information both ad hoc and routine are undertaken in a timely manner. Contribute to policy development the Charity CRM and other data collection platforms Undertake analyses involving data that has several components (e.g. administrative, demographic and financial), from a number of sources and systems.