At a Glance
- Tasks: Lead data analysis to improve housing services for over 8,000 tenants.
- Company: Oxford City Council, committed to evidence-based decision making.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Join a supportive team dedicated to improving community living.
- Why this job: Make a real difference in housing services while developing your analytical skills.
- Qualifications: Experience in data analysis and strong IT skills required.
The predicted salary is between 35000 - 45000 £ per year.
Oxford City Council is seeking a Senior Housing Data Analyst to lead data-driven decisions within Housing Services, supporting over 8,000 tenants and leaseholders.
The role combines data extraction, interpretation and analysis to deliver housing needs and homelessness services, with a hybrid working pattern at Oxford Town Hall / home.
You will use IT tools and databases to present clear findings for service improvement.
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Senior Housing Data Analyst — Drive Evidence-Based Housing employer: Oxford City Council
As a Scrutiny Policy Officer in Oxford, you will join a dynamic and supportive work environment that values collaboration and innovation. The role offers excellent opportunities for professional growth, allowing you to deepen your understanding of local government while making a tangible impact on the community. With a focus on meaningful engagement and development, this position is perfect for those looking to contribute to effective governance in a vibrant city.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Housing Data Analyst — Drive Evidence-Based Housing
✨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 Oxford City Council!
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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 Oxford City Council.
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When you find a suitable opening like Senior Housing Data Analyst — Drive Evidence-Based Housing at Oxford City Council, 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 Senior Housing Data Analyst — Drive Evidence-Based Housing
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 Oxford City Council, 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 Oxford City Council. 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 Oxford City Council
✨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 Oxford City Council!
✨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.
