At a Glance
- Tasks: Manage and analyse data related to social housing and energy efficiency.
- Company: Join Phoenix Community Housing, dedicated to improving community living standards.
- Benefits: Gain valuable experience in data management and contribute to sustainable housing solutions.
- Other info: Opportunity for growth in a supportive and interactive work environment.
- Why this job: Make a real difference in social housing while developing your analytical skills.
- Qualifications: Experience with databases and knowledge of building components is essential.
The predicted salary is between 29700 - 36300 £ per year.
At Phoenix Community Housing we are looking for an Asset Data Analyst who can bring us their knowledge of the Decent Homes Standard and a good understanding of building components and their interrelation.
Someone with a keen interest in data and who is able to manage databases and process large volumes of data.
This is an interactive role and will include ensuring that new energy efficiency data in is updated along with our historic sustainability data.
It will suit you have experience in managing databases, we use Asprey, and a good understanding of landlord hazards and their control.
Closing date for applications is
Noon on Friday 9 October
2026 .
Interviews are scheduled for
Friday 16 October 2026.
TPBN1_UKTJ
Asset Data Analyst - social housing in London employer: PHOENIX COMMUNITY HOUSING
Join our award-winning housing association as a Plumber, where you will be part of a dedicated and supportive team committed to delivering high-quality plumbing services in a collaborative work environment. We prioritise employee growth and development, offering opportunities for training and advancement while fostering a culture of respect and teamwork. Located in a vibrant community, we provide a fulfilling career path that not only enhances your skills but also contributes positively to the lives of our residents.
StudySmarter Expert Advice🤫
We think this is how you could land Asset Data Analyst - social housing in London
✨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 PHOENIX COMMUNITY HOUSING!
✨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 Asset Data Analyst - social housing at PHOENIX COMMUNITY HOUSING.
✨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 PHOENIX COMMUNITY HOUSING.
✨Apply Directly through Our Website
When you find a suitable opening like Asset Data Analyst - social housing at PHOENIX COMMUNITY HOUSING, 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 Asset Data Analyst - social housing in London
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 PHOENIX COMMUNITY HOUSING, 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 PHOENIX COMMUNITY HOUSING. 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 PHOENIX COMMUNITY HOUSING
✨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 PHOENIX COMMUNITY HOUSING!
✨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.