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Data Analyst HSCNI

Job Description

VANRATH are delighted to be recruiting for an exciting opportunity with one of our large HSCNI clients. You will be joining at a time some extremely important projects improving all areas of the Health Service with use of data analysis. There is real scope for someone to build on relevant experience with a HSCNI organisation.

This role will run initially for a minimum of 6+ months, with high chance of long-term extension, and is a full-time 37.5 hours per week. As it is highly likely this role will be extended and should be seen as an excellent chance to get your foot in the door with HSCNI, if this is of interest.

Salary

  • £32K + Holiday Pay + Pension + Discount Benefits

The Ideal Candidate

  • Degree in Data Analysis/ ICT / Statistics, or related;
  • 2 + years' working experience in Data Analysis
  • Advanced Excel knowledge including VBA
  • Experience of Power BI
  • Financial Data background is a plus

Responsibilities

  • Contribute to and lead as required the analysis of complex information and datasets

  • Produce, as required, reports to assist decision making or to explain to others the rationale behind decisions
  • Lead in the analysis of monitoring, audit and performance management reports to the Service Delivery Manager to enable effective management and coordinated planning and allocation of resources
  • Develop data and evaluation reports as required
  • Prepare reports for the Project Managers, Service Delivery Managers, Heads of Service, Head of Governance & Control and Head of Transformation as required, including progress and monitoring reports
  • Take responsibility for the quality assurance of relevant reports and dashboards
  • Lead in the management of confidential and sensitive information

For further information on this vacancy, or any other Data Analyst or Scientific roles in Belfast or wider Northern Ireland, please apply via the link below or contact Shannon McKinley in the strictest confidence.

shannon.mckinley@vanrath.com

028 90 330 250