At a Glance
- Tasks: Lead data-driven decision-making in Housing Services for over 8000 tenants.
- Company: Join a dynamic team at Oxford's Housing Services with a hybrid work model.
- Benefits: Enjoy 29 days holiday, LGPS, and a subsidised leisure membership.
- Other info: Great career growth opportunities in a supportive environment.
- Why this job: Make a real difference in housing services while developing your data skills.
- Qualifications: Experience in data analysis and proficiency in IT applications required.
The predicted salary is between 53527 - 53527 £ per year.
Senior Housing Data Analyst
Salary G9: £53,527 per annum full time (pro rata for part time).
Contractual hours: 37 Basis.
Basis Full Time.
Region Oxford.
Package: 29 days holiday, LGPS, subsidised leisure membership, flex scheme (where appropriate), employee benefits scheme, post-probation pay increment.
Job category/type Permanent.
Job reference 002834.
An exciting opportunity has become available in Housing Services.
The Senior Housing Data Analyst will lead the approach to data and evidence-based decision-making within a busy Housing Services area, providing services to over 8000 tenants and leaseholders, as well as delivering a wide range of housing needs and statutory homelessness services.
Responsibilities
- Lead the approach to data and evidence-based decision‑making within a busy Housing Services area.
- Provide services to over 8000 tenants and leaseholders.
- Deliver a wide range of housing needs and statutory homelessness services.
- Support the service and wider Council through data extraction, interpretation, and analysis.
- Collate and manipulate complex sets of data and present findings in accessible and informative ways.
Qualifications
- Experienced data lead.
- Skilled in extracting, interpreting, and analysing data.
- Proficient in collating and manipulating complex data sets.
- Ability to present findings accessibly and informatively.
- Competency in using a range of IT and software applications and complex databases.
For an informal discussion about the post, please email Laura Marshall-Ravanal: .
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Senior Housing Data Analyst 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
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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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We think you need these skills to ace Senior Housing Data Analyst
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 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!
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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 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.
