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- Tasks: Analyse and coordinate asset data to support decision-making for social housing.
- Company: Canterbury City Council, committed to quality data and community impact.
- Benefits: Competitive salary, flexible hybrid working, and generous annual leave.
- Why this job: Join a diverse team and make a real difference in asset management.
- Qualifications: Experience in data analysis and coordination with strong attention to detail.
- Other info: Opportunity for career growth in a supportive environment.
The predicted salary is between 35064 - 38638 £ per year.
A fantastic opportunity in Canterbury, Kent. Are you someone who understands the importance of good quality, reliable data? Canterbury City Council are seeking an experienced Assets Data Analyst and Coordinator to join our Facilities Management team.
You will be responsible for a wide range of asset data and linking it through different services to ensure our data stays current, accurate, and embedded in the heart of the decisions we make for our social houses and other assets. As an Assets Data Analyst and Coordinator, you will enjoy working with diverse teams on different projects, from energy efficiency improvements to health and safety. You will use data interrogation and manipulation skills, reports and dashboards in your work as a valued member of the Strategic Assets team.
Responsibilities:- You will ensure all property and asset data within the FM Service is consistent and on a uniform, agreed recording hierarchy.
- You will analyse and coordinate multi-faceted data across systems and assimilation of data for reports on our owned assets, both housing and operational.
- You will deliver reports and process mapping of procedures and systems across the service to input into strategies supporting asset management of our stock.
- You will be the key service specialist in the development and implementation of new systems and modules to support and improve the management of stock data information.
- You will provide an overview function to ensure all users of the asset management systems are correctly and appropriately using the system, and all information is being updated correctly.
- Curating of data systems used by the service and engaging with the wider teams cross-services as required.
- Salary between £35,064.26 and £38,638.08
- Cost of living pay award negotiated annually as a salary increase
- Flexible, hybrid working – we understand the importance of a good work-life balance
- Generous annual leave entitlement – 23 days annual leave which increases with service
Assets Data Analyst and Coordinator in London employer: Canterbury City Council
Contact Detail:
Canterbury City Council Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Assets Data Analyst and Coordinator in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend local meetups, or join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by researching the company and its values. Understand their approach to asset management and think about how your skills can contribute to their goals. This will help you stand out as a candidate who truly gets what they’re about.
✨Tip Number 3
Showcase your data skills! Bring examples of your previous work to interviews, like reports or dashboards you've created. This not only demonstrates your expertise but also gives you a chance to discuss your thought process and problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Assets Data Analyst and Coordinator in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Assets Data Analyst and Coordinator role. Highlight your experience with data analysis, reporting, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our Facilities Management team. Be sure to mention specific examples of your work that relate to the job description.
Showcase Your Data Skills: Since this role involves a lot of data manipulation and reporting, make sure to showcase your technical skills. Mention any tools or software you're proficient in, and provide examples of how you've used them to improve data quality or efficiency in past roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Canterbury City Council
✨Know Your Data Inside Out
As an Assets Data Analyst and Coordinator, you'll be dealing with a lot of data. Make sure you brush up on your data interrogation and manipulation skills before the interview. Familiarise yourself with common data analysis tools and techniques, and be ready to discuss how you've used them in past roles.
✨Understand the Role's Impact
It's crucial to grasp how your role will influence decision-making for social housing and other assets. Research Canterbury City Council's current projects and challenges. This will help you articulate how your skills can contribute to their goals during the interview.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities. Prepare examples of how you've coordinated multi-faceted data or improved data management processes in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Show Your Team Spirit
Collaboration is key in this role, so be ready to discuss your experience working with diverse teams. Highlight any projects where you’ve successfully engaged with different departments or stakeholders, and emphasise your ability to communicate complex data insights clearly.
