Data Programme Assistant

Posted 8 days 6 hours ago by Gordon Yates Ltd

Permanent
Full Time
Other
London, United Kingdom
Job Description

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, working on a full-time basis and is paying a competitive £34,932-£38,440 (£21.98 an hour Min).

WHO WILL YOU BE WORKING FOR?

Our client is an established non-profit healthcare membership body.

WHAT WILL YOU BE DOING?

  1. 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.
  2. Deputise in the absence of the Programme Manager.
  3. Supervise the project staff and assist in managing the team's workload.
  4. Develop sampling methods and data collection tools.
  5. Collect and analyse qualitative and quantitative data from participating services, developing methods and tools to enable measurement of performance against standards.
  6. Plan and deliver events, e.g., learning events, workshops.
  7. Produce local and national reports.
  8. Be prepared to travel across the UK if required. Overnight stays may be necessary for some visits, and a certain level of flexibility is needed during periods of increased workload.
  9. Assist in the quality assurance process for the project against agreed standards, including the timeliness and quality of reports and meeting deadlines.
  10. Manage the day-to-day financial administration for the project (e.g., invoicing and expenses) and assist the Programme Manager with budget management and monthly forecasts.
  11. Assist in preparing and delivering workshops and presentations.
  12. Supervise and assist with compilation, management, and analysis of quantitative and qualitative data submitted by participant organisations.

ABOUT YOU?

  1. A keen interest in health or social care, particularly mental health.
  2. Confident user of SPSS or an equivalent statistical package.
  3. Experience of managing large electronic databases and controlling data quality.
  4. Excellent interpersonal and communication skills.