Repairs & Maintenance Data Insights Specialist in Sutton Coldfield

Repairs & Maintenance Data Insights Specialist in Sutton Coldfield

Sutton Coldfield Full-Time 26403 - 28142 £ / year (est.) No working from home possible
New Start

At a Glance

  • Tasks: Analyse data and ensure accuracy of repairs and maintenance records.
  • Company: Join New Start's Major Works team in Sutton.
  • Benefits: Starting salary between £26,403 - £28,142 with growth potential.
  • Other info: Exciting opportunity for career development in a supportive environment.
  • Why this job: Make a difference by enhancing servicing and maintenance programmes.
  • Qualifications: Strong analytical skills and attention to detail required.

The predicted salary is between 26403 - 28142 £ per year.

New Start is seeking a Repairs and Maintenance Data Officer to join the Major Works team in Sutton. The role includes responsibility for analysing large sets of data and ensuring the accuracy of repairs and maintenance records. The successful candidate will implement processes to enhance the operation of various servicing and maintenance programmes.

A starting salary between £26,403 - £28,142 will be offered, with a closing date for applications on 5 July 2026.

Repairs & Maintenance Data Insights Specialist in Sutton Coldfield employer: New Start

New Start is an excellent employer that values data-driven decision-making and offers a supportive work culture in Sutton. Employees benefit from competitive salaries, opportunities for professional growth, and a collaborative environment that encourages innovation in repairs and maintenance processes.

New Start

Contact Details:

New Start Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Repairs & Maintenance Data Insights Specialist in Sutton Coldfield

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like New Start!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Repairs & Maintenance Data Insights Specialist at New Start.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like New Start.

Apply Directly through Our Website

When you find a suitable opening like Repairs & Maintenance Data Insights Specialist at New Start, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Repairs & Maintenance Data Insights Specialist in Sutton Coldfield

Data Analysis
Attention to Detail
Process Implementation
Record Accuracy
Analytical Skills
Problem-Solving Skills
Communication Skills

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

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!

Showcase Your Projects

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

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at New Start!

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.