At a Glance
- Tasks: Analyse and manage property data to support strategic decision-making in asset management.
- Company: Watmos Community Homes, committed to diversity and sustainability.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Join a dynamic team focused on continuous improvement and community well-being.
- Why this job: Make a real impact on residents' lives by ensuring safe and sustainable homes.
- Qualifications: Experience with asset management data systems and strong analytical skills.
The predicted salary is between 29700 - 36300 £ per year.
Watmos Community Homes, We are seeking a dedicated and analytical Asset Data Analyst to join our Asset Management team.
You will play a key role in supporting the development of our Asset Management Strategy, investment planning, building safety compliance, and sustainability objectives.
Working closely with the Head of Property, you will ensure that high-quality asset data informs strategic decision-making across our housing portfolio.
In this role, you will be responsible for collecting, validating, analysing and maintaining a wide range of property and building safety data, including stock condition, compliance, and energy performance information.
You will manage asset databases, produce performance reports and KPIs, oversee property survey programmes, and help drive our commitment to achieving EPC C across all homes by 2030 as part of our net-zero strategy.
The successful candidate will have experience working with asset management or property data systems, strong analytical and numerical skills, and an understanding of social housing, building safety, and property compliance requirements.
Experience with stock condition data and investment planning within a housing, property, or construction environment would be highly advantageous.
This is an excellent opportunity to make a real impact by helping ensure residents live in safe, well-maintained and sustainable homes, while contributing to the continuous improvement of our services and asset performance.
If you are passionate about data, problem-solving, and driving positive outcomes through insight-led decision-making, we would love to hear from you.
- Job Purpose
- Assisting the Head of Property with the development and implementation of the Asset Management Strategy and Investment Plans by maintaining and providing strategic data to influence decision making.
- Developing, implementing and maintaining the Asset Management Department’s databases to enable the development, procurement, monitoring and review of asset investment programmes.
- Ensuring Watmos has robust data to provide residents with properties that meet the new Decent Homes Standard, HHSRS, Consumer Standard.
- Utilising Sava software to develop the Watmos Zero Carbon strategy to achieve net zero with all properties having minimum EPC C by 2030.
- Implementing robust data collection and validation techniques and proactive measures to identify and rectify data inconsistencies.
- Analysing performance across all service delivery areas within the Asset Management to determine where improvements can be made to improve the quality and cost effectiveness of services we offer.
- Demonstrating the Watmos values and building close working relationships with all stakeholders and putting residents at the centre of all we do.
We are genuinely proud of our diversity, our people, our values, our homes and our achievements and you will support our ongoing evolution.
In line with our ethos as an organisation we are committed to creating a diverse and inclusive organisation with a sense of belonging, where everyone knows their opinions matter and their talents can be fully utilised.
We encourage applications from those of all backgrounds and strongly value having a workforce that includes people who have different life experiences.
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Asset Data Analyst in Walsall employer: WMJobs
Worcestershire County Council is an exceptional employer, offering a supportive and friendly work environment for Social Workers in the picturesque Malvern Hills area. With a strong emphasis on professional development, flexible working arrangements, and a commitment to employee well-being, you will thrive in a culture that values collaboration and innovation. Join a dedicated team where your contributions are recognised and where you can make a meaningful impact in the lives of those you support.
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We think this is how you could land Asset Data Analyst in Walsall
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We think you need these skills to ace Asset Data Analyst in Walsall
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!
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Craft a Tailored Cover Letter:For a full-time role at WMJobs, 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.
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How to prepare for a job interview at WMJobs
✨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!
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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 WMJobs!
✨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.
