Job Role

You will be responsible for supporting the recruitment process in line with CQC guidelines including advertising vacancies, arranging interviews, and completing safe-recruitment pre-employment checks.

What You'll Do at Work

• Responding promptly and professionally to incoming emails and telephone calls, taking accurate messages and directing enquiries appropriately
• Maintaining and updating spreadsheets and records to ensure information is accurate and current at all times
• Supporting the recruitment process in line with CQC guidelines including advertising vacancies, arranging interviews, and completing safe-recruitment pre-employment checks (DBS, right-to-work, references and employment history)
• Updating the Nourish care planning system (and any associated care planner records) accurately and in a timely manner with the data available
• Ensuring staff rota is allocated and client visits - delays are escalated to senior management
• Allocating training and booking staff meetings, spot checks and supervision
• Monitoring activities and supporting the running of surveys, recording responses and outcomes
• Ordering stock, ensuring required supplies are always in place, and comparing prices with suppliers to achieve best value based on previous data sets

Training Provider

• QA LIMITED

Training Course

• Data Technician (Level 3)

Course Contents

• Select and migrate data from already identified sources.
• Format and save datasets.
• Summarise, analyse and explain gathered data.
• Combine data sets from multiple sources and present in format appropriate to the task.
• Use tools and/or apply basic statistical methods to identify trends and patterns in data.
• Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
• Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
• Demonstrate the different ways of communicating meaning from data in line with audience requirements.
• Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
• Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
• Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
• Parse data against standard formats, and test and assess confidence in the data and its integrity.
• Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
• Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
• Follows equity, diversity and inclusion policies in the organisation for a common goal.
• Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.