At a Glance
- Tasks: Use data insights to shape strategic asset management decisions and improve housing investments.
- Company: Join Wandle Housing Association, a leader in asset management with a collaborative team.
- Benefits: Enjoy a competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Perfect for detail-oriented individuals looking to grow in a dynamic environment.
- Why this job: Make a real impact by ensuring data accuracy and supporting informed decision-making.
- Qualifications: Experience with large datasets and tools like Excel or Power BI is essential.
The predicted salary is between 52000 - 52000 € per year.
Permanent Full time
Asset Data Analyst £52,000 per annum – Permanent – Full Time – Hybrid (2 Office Days per week)
This is a great opportunity to join the Asset Management team at Wandle Housing Association. We’re looking for a highly organised individual with a strong attention to detail to join as the Asset Data Analyst to support with data insights and reports across all areas of the business. You’ll be a trusted and reliable partner to stakeholders, understanding the importance of how accurate and well‑managed data helps the organisation.
What you’ll be doing:
- Use data‑driven insight to shape strategic asset management decisions, helping the organisation invest in the right homes, at the right time, for the greatest impact.
- Take ownership of asset data quality and governance ensuring accuracy, consistency and integrity so teams across the business can rely on it to make informed decisions.
- Act as the go‑to expert for our Asset Management System, enhancing functionality, supporting users, and ensuring it’s used effectively to unlock the full value of our data.
What we are looking for:
- You’re confident working with large, complex datasets using tools like Excel, Power BI or similar to uncover meaningful insights and solve real business challenges.
- You understand the importance of accurate, well‑managed data and have experience ensuring data integrity, consistency and compliance across systems and processes.
- You bring an understanding of asset, housing or property‑related data using it to support decision‑making, performance tracking or service improvement.
- Highly organised with a strong attention to detail when dealing with data and reporting systems.
- You can translate complex analysis into clear, engaging insights communicating confidently with a range of stakeholders to influence decisions and drive action.
- Degree with data/analytical content or equivalent professional experience.
Please note we are unable to sponsor visa and you must already have proof of your Right to Work in the United Kingdom.
Asset Data Analyst employer: Wandle Housing Association Ltd
Wandle Housing Association is an exceptional employer that values its employees by fostering a collaborative and inclusive work culture. With a focus on professional development, the Asset Data Analyst role offers opportunities for growth while working in a hybrid environment in the heart of London. Employees benefit from a competitive salary, a supportive team atmosphere, and the chance to make a meaningful impact on housing and community development.
Contact Detail:
Wandle Housing Association Ltd Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Asset Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at Wandle Housing Association on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your data skills. Be ready to discuss how you've used tools like Excel or Power BI in past roles. We want to see how you can turn complex datasets into actionable insights!
✨Tip Number 3
Show off your attention to detail! During interviews, share examples of how you've ensured data accuracy and integrity in previous jobs. This will demonstrate that you understand the importance of reliable data in decision-making.
✨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, it shows you're genuinely interested in joining our team at Wandle Housing Association.
We think you need these skills to ace Asset Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Asset Data Analyst role. Highlight your experience with data management and any tools like Excel or Power BI that you’ve used. We want to see how your skills match 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 asset management and how your background makes you a great fit. Don’t forget to mention your attention to detail and organisational skills!
Showcase Your Data Skills:In your application, be sure to showcase your experience with large datasets and how you’ve used data insights to drive decisions. We love seeing examples of how you’ve made an impact in previous roles!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Wandle Housing Association Ltd
✨Know Your Data Tools
Make sure you brush up on your skills with Excel, Power BI, or any other relevant tools. Be ready to discuss how you've used these tools in the past to analyse complex datasets and derive meaningful insights.
✨Understand the Role of Data
Familiarise yourself with how accurate data impacts decision-making in asset management. Be prepared to share examples of how you've ensured data integrity and compliance in previous roles.
✨Communicate Clearly
Practice translating complex data analysis into simple, engaging insights. Think about how you can communicate your findings to stakeholders who may not have a technical background.
✨Show Your Organisational Skills
Highlight your attention to detail and organisational abilities. Prepare to discuss specific instances where your organisational skills helped improve data quality or reporting processes.
