Data Programme Assistant

Data Programme Assistant

We are currently recruiting for a Data Programme Assistant to start immediately until, September 25 
The role is Hybrid- 2 days in and 3 days from home and working on a full-time basis and is paying a competitive £34,932-£38,440 £21.98 an hour Min 
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WHO WILL YOU BE WORKING FOR?
Our client is an established non-profit healthcare membership body. 
  
WHAT WILL YOU BE DOING?
To assist the programme manager with the management and development of the College Centre for Quality Improvement’s national clinical audit programmes, research/evaluation projects or multi-source feedback systems.  

• To deputise in the absence of the Programme Manager
• To supervise the project staff and assist in managing the teams’ workload.
• Developing sampling methods and data collection tools- To help in managing all aspects of the project(s), which may include:  

• • Collecting and analysing qualitative and quantitative data from  participating services developing methods and tools to enable measurement of performance against standards

• • Planning and delivering events e.g. learning events, workshop

• • Producing local and national reports 

• Be prepared to travel across the UK if required. Overnight stays may be required for some visits and a certain level of flexibility is needed at periods of increased workload.
• Assist in the quality assurance process for the project against agreed standards, including the timeliness and quality of reports and meeting of deadlines.
• Manage the day-to-day financial administration for the project (e.g. invoicing and expenses) and assist the Programme Manager with the budget management and monthly forecasts.
• Assist in preparing and delivering workshops and presentations
• Supervise and assist with compilation, management and analysis of quantitative and qualitative data submitted by participant organisations.

ABOUT YOU?

• • A keen interest in health or social care and, in particular, mental health 

• • Confident user of SPSS or equivalent statistical package 

• • Experience of managing large electronic databases and controlling data quality 

• • Excellent interpersonal and communication skills