Data Officer – Health Screening Data (Flexible Hours)

Data Officer – Health Screening Data (Flexible Hours)

Full-Time 23735 - 29009 Β£ / year (est.) Home office (partial)
A

At a Glance

  • Tasks: Support the London Breast Screening Programme by collecting and inputting accurate data.
  • Company: Join the Royal Free London NHS Foundation Trust, a leader in healthcare.
  • Benefits: Flexible hours, training provided, and a chance to make a difference.
  • Other info: Great opportunity for career growth in the healthcare sector.
  • Why this job: Be part of a vital health initiative and enhance your data skills.
  • Qualifications: Attention to detail and willingness to learn; no prior experience necessary.

The predicted salary is between 23735 - 29009 Β£ per year.

The Royal Free London NHS Foundation Trust is advertising a Band 3 Data Officer to support the London Breast Screening Programme Hub.

The post involves accurate data collection and input under the direction of the Data Office Manager and Service Manager - Data, with training provided.

The role will liaise with Administration/Data Officers, cover for short-term absences, and help ensure data accuracy and audit as key performance measures.

#J-18808-Ljbffr

Data Officer – Health Screening Data (Flexible Hours) employer: Allscreens Nationwide Ltd

Allscreens Nationwide is an exceptional employer, offering a supportive team culture where employees are valued and encouraged to thrive. With access to state-of-the-art training facilities and opportunities for career progression, our Automotive Glazing Technicians in Birmingham can expect not only competitive bonuses but also the chance to work with the latest technology in the industry. Join us and be part of a company that prioritises both employee well-being and customer satisfaction.

A

Contact Details:

Allscreens Nationwide Ltd Recruitment Team

We think you need these skills to ace Data Officer – Health Screening Data (Flexible Hours)

Communication Skills
Attention to Detail
Problem-Solving Skills
SQL
Automation
Data Engineering
Python