At a Glance
- Tasks: Ensure high-quality data supports better patient care and service improvement.
- Company: Join a collaborative NHS network focused on children's oncology.
- Benefits: Gain valuable experience in healthcare data management and analysis.
- Other info: Flexible, supportive team environment with opportunities for continuous learning.
- Why this job: Make a real difference in patient care while developing your skills.
- Qualifications: Experience in data collection and strong organisational skills required.
The predicted salary is between 30000 - 40000 £ per year.
Join the Yorkshire & Humber Childrens and Teenagers & Young Adults (TYA) Oncology Operational Delivery Network.
As a Data Quality and Administration Co-ordinator, you will help ensure high-quality data supports better patient care, service improvement, and national reporting.
You will work with NHS Trusts, clinicians, and multidisciplinary teams, combining data analysis with administrative coordination in a collaborative environment.
Responsibilities
- Provide data quality checking, data analysis and administrative support to the Yorkshire and Humber Childrens & TYA Oncology Operational Delivery Network (CTYA ODN).
- Liaise with local teams from across the Network to ensure data is accurate, up-to-date and collected to meet regional and national standards and deadlines.
- Ensure that all units have the appropriate data collection systems in place.
- Support units with consenting, data capture and collection processes for analysis and ensure all teams participate in data collection for the Network.
- Produce operational reports based on the data collected and provide other administrative support as needed, including dissemination of network information, arranging meetings, minutes and diary management.
Qualifications
- Experience of data collection, validation and analysis, ideally within an NHS or healthcare environment.
- Strong organisational skills with the ability to manage multiple priorities and meet deadlines.
- Excellent attention to detail and a methodical approach to maintaining high-quality data.
- Confidence using Microsoft Office applications, particularly Excel, along with databases and other digital systems.
- Good interpersonal and communication skills, with the ability to build effective working relationships across multidisciplinary teams and multiple organisations.
- An understanding of data quality, confidentiality and information governance principles.
- The ability to work independently, using initiative while also contributing positively as part of a supportive team.
- Experience of producing reports and presenting accurate information to support service improvement and decision-making.
- Strong administrative skills, including organising meetings, taking minutes and managing competing workloads.
- A positive, flexible and proactive approach, with a commitment to continuous learning and improving patient services.
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StudySmarter Expert Advice🤫
We think this is how you could land Data Co-ordinator in Leeds
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We think you need these skills to ace Data Co-ordinator in Leeds
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Leeds Teaching Hospitals, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Leeds Teaching Hospitals. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Leeds Teaching Hospitals
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
