At a Glance
- Tasks: Analyse large data sets and update records for repairs and maintenance activities.
- Company: Join Ashfield District Council, a supportive team focused on community services.
- Benefits: Competitive salary, job security, and opportunities for professional growth.
- Other info: Full-time role with a chance to impact local housing and facilities.
- Why this job: Make a difference by ensuring accurate data for essential community services.
- Qualifications: Strong analytical skills and attention to detail required.
The predicted salary is between 26403 - 28142 £ per year.
Working in the Major Works team you will be responsible for analysing large data sets and updating records as appropriate in relation to Regulatory and 'best practice' repairs and maintenance activities.
The Data Officer will also be responsible for ensuring the accuracy of repairs and maintenance / refurbishment work data held and implementing/ maintaining processes to assist in the effective operation of a range of servicing and maintenance programmes.
Closing date: 5 July 2026
Interview date: 14 July 2026
Company: Ashfield District Council
Salary: £26,403 - £28,142 per annum (pay award pending)
Location: Sutton-In-Ashfield, Nottinghamshire
Sector: Corporate Services, Facilities Management, Housing
Job Role: Officer
Repairs and Maintenance Data Officer (Full Time) in Sutton Coldfield employer: New Start
Ashfield District Council is an excellent employer, offering a supportive work culture that values collaboration and innovation within the Major Works team. Employees benefit from competitive salaries, opportunities for professional development, and a commitment to maintaining high standards in repairs and maintenance activities, all set in the welcoming community of Sutton-In-Ashfield, Nottinghamshire.
StudySmarter Expert Advice🤫
We think this is how you could land Repairs and Maintenance Data Officer (Full Time) in Sutton Coldfield
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We think you need these skills to ace Repairs and Maintenance Data Officer (Full Time) in Sutton Coldfield
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 New Start, 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 New Start. 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 New Start
✨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.
