At a Glance
- Tasks: Analyse and validate housing asset data while collaborating with surveyors.
- Company: Join a forward-thinking company focused on housing and asset management.
- Benefits: Enjoy 30 days of leave, healthcare cover, and a gym membership.
- Other info: Great career growth opportunities in a supportive environment.
- Why this job: Make a real difference in housing quality through data analysis.
- Qualifications: Experience in data validation and strong Excel skills required.
This role combines technical data analysis with building surveying expertise, focusing on the validation and quality assurance of stock condition, HHSRS, Decent Homes, and RdSAP data. The successful candidate will review survey outputs, identify inconsistencies, and collaborate closely with surveyors to resolve data issues and ensure accuracy across asset datasets.
Key Responsibilities
- Data Review, Validation & Management
- Technical Quality Assurance
- Surveyor Support & Technical Point of Contact
- Collaboration & Issue Resolution
- Reporting & Analytical Support
Skills & Experience
- Strong understanding of housing asset data, including:
- Experience reviewing and validating survey data within housing, asset management, or consultancy environments
- Intermediate to advanced Excel skills
What We Offer
- Auto-enrolment pension scheme with company match up to 5% after 3 months of employment
- 30 days’ annual leave, including public holidays, plus 3 additional days over the Christmas/New Year period
- Healthcare cover upon successful completion of probation
- Death-in-service benefit of 2× salary upon successful completion of probation
- On-site gym (£15/month membership) and restaurant
ALL APPLICANTS MUST BE FREE TO WORK IN THE UK
Data Analyst (Building Surveying & Housing Asset Data) in Clifton employer: Exposed Solutions
Exposed Solutions is an excellent employer for Data Analysts, offering a supportive work culture that prioritises employee well-being and professional growth. With generous benefits such as a competitive pension scheme, extensive annual leave, and healthcare cover, employees can thrive both personally and professionally. The on-site gym and restaurant further enhance the workplace experience, making it an ideal environment for those seeking meaningful and rewarding employment in the housing asset sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (Building Surveying & Housing Asset Data) in Clifton
✨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 Exposed Solutions!
✨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 Data Analyst (Building Surveying & Housing Asset Data) at Exposed Solutions.
✨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 Exposed Solutions.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst (Building Surveying & Housing Asset Data) at Exposed Solutions, 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 Data Analyst (Building Surveying & Housing Asset Data) in Clifton
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 Exposed Solutions, 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 Exposed Solutions. 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 Exposed Solutions
✨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 Exposed Solutions!
✨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.
