At a Glance
- Tasks: Analyse asset data to improve housing standards and drive investment decisions.
- Company: Join a forward-thinking company dedicated to maintaining quality homes for communities.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Make a real impact on housing quality while developing your analytical skills in a supportive environment.
- Qualifications: Experience with housing data systems and advanced skills in Excel, Power BI, and SQL required.
- Other info: This role is perfect for detail-oriented individuals passionate about data integrity.
The Asset Data Analyst will be responsible for providing accurate asset data and using it to plan major works to our homes, to ensure that Decent Homes and the company standards are maintained. Ensure data is adapted to take account of statutory and regulatory requirements and this is shared across Property Services to drive investment decisions and service improvement.
Using a range of analytical tools to provide data on investment hotspots, poor performing stock and opportunities for resolution in the short, medium and long-term.
Required Experience- Detailed knowledge of housing, business planning and asset management systems such as Keystone, NEC or other stock condition / asset data systems.
- Knowledge in extraction of information from data management systems to review and cleanse data in an efficient way to enhance accuracy to better inform business decisions.
- Advanced knowledge of Microsoft Excel, Power BI and SQL to analyse, manage and present data.
- Ability to work with large amounts of data, owning data integrity and collection of data.
- Advanced MS Excel skills along with understanding of Database configuration.
Asset Data Analyst (Housing) employer: DGH Recruitment Ltd
Contact Detail:
DGH Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Asset Data Analyst (Housing)
✨Tip Number 1
Familiarise yourself with the specific asset management systems mentioned in the job description, like Keystone and NEC. Having hands-on experience or even a basic understanding of these tools can set you apart from other candidates.
✨Tip Number 2
Brush up on your data analysis skills, especially in Microsoft Excel, Power BI, and SQL. Consider taking online courses or tutorials to enhance your proficiency, as this will demonstrate your commitment to the role.
✨Tip Number 3
Network with professionals in the housing and asset management sectors. Attend relevant industry events or join online forums to connect with others who might provide insights or even referrals for the position.
✨Tip Number 4
Prepare to discuss how you've handled large datasets in the past. Be ready to share specific examples of how you've ensured data integrity and made data-driven decisions, as this will showcase your practical experience.
We think you need these skills to ace Asset Data Analyst (Housing)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with housing, business planning, and asset management systems. Include specific examples of how you've used tools like Keystone or NEC in previous roles.
Showcase Analytical Skills: Emphasise your advanced knowledge of Microsoft Excel, Power BI, and SQL. Provide examples of how you've used these tools to analyse data and make informed business decisions.
Highlight Data Management Experience: Detail your experience in extracting and cleansing data from management systems. Explain how you have ensured data integrity and accuracy in your past roles.
Craft a Strong Cover Letter: Write a cover letter that connects your skills and experiences directly to the responsibilities of the Asset Data Analyst role. Mention your ability to work with large datasets and your understanding of statutory and regulatory requirements.
How to prepare for a job interview at DGH Recruitment Ltd
✨Showcase Your Technical Skills
Make sure to highlight your advanced knowledge of Microsoft Excel, Power BI, and SQL during the interview. Be prepared to discuss specific examples of how you've used these tools to analyse and present data effectively.
✨Demonstrate Your Understanding of Housing Systems
Familiarise yourself with housing, business planning, and asset management systems like Keystone and NEC. Be ready to explain how your experience aligns with these systems and how you can leverage them for effective asset data analysis.
✨Prepare for Data Integrity Questions
Expect questions about data integrity and cleansing processes. Prepare to discuss your methods for ensuring data accuracy and how you've handled large datasets in previous roles.
✨Discuss Investment Decision-Making
Be ready to talk about how you have used data to drive investment decisions in the past. Share examples of how your analytical skills have led to improvements in service delivery or identified investment hotspots.