Senior Housing Data Analyst in Oxford

Senior Housing Data Analyst in Oxford

Oxford Full-Time 43300 - 59000 £ / year (est.) No working from home possible
Oxford City Council

At a Glance

  • Tasks: Lead data analysis to support housing services for over 8000 tenants.
  • Company: Join Oxford City Council, dedicated to improving community housing services.
  • Benefits: Enjoy 29 days holiday, a pension scheme, and flexible working options.
  • Other info: Contact Richard Wood for an informal chat about the role.
  • Why this job: Make a real impact on housing services while developing your data skills.
  • Qualifications: Experience in data analysis and proficiency in IT applications required.

The predicted salary is between 43300 - 59000 £ per year.

Overview

Job description

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 tenants and leaseholders, as well as delivering a wide range of housing needs and statutory homelessness services.

Responsibilities

  • Lead data and evidence-based decision-making within a busy Housing Services area, supporting services to tenants and leaseholders, and delivering housing needs and statutory homelessness services.
  • Extract, interpret and analyse data to support the service and wider Council; collate and manipulate complex data sets and present findings in an accessible and informative way.
  • Be confident in using a range of IT and software applications and complex databases to analyse data and inform service improvements.
  • Contribute to the service217s improvement journey by improving data visibility and performance information and delivering continuous high performance and excellent customer service.

Qualifications and Skills

This role requires an experienced data lead who can confidently extract, interpret and analyse data to support the service and wider Council. The ideal candidate will be confident in using a range of IT and software applications and complex databases.

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Senior Housing Data Analyst in Oxford 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.

Oxford City Council

Contact Details:

Oxford City Council Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Housing Data Analyst in Oxford

Tip Number 1

Familiarise yourself with the specific data tools and software mentioned in the job description. Being able to demonstrate your proficiency in these applications during the interview will set you apart from other candidates.

Tip Number 2

Prepare examples of how you've used data analysis to drive decision-making in previous roles. Be ready to discuss specific projects where your insights led to measurable improvements, especially in housing or public services.

Tip Number 3

Research Oxford City Council's current housing initiatives and challenges. Showing that you understand their context and can contribute to their goals will demonstrate your genuine interest in the role.

Tip Number 4

Network with professionals in the housing sector or those who have worked at Oxford City Council. Engaging in conversations can provide valuable insights and potentially lead to referrals, increasing your chances of landing the job.

We think you need these skills to ace Senior Housing Data Analyst in Oxford

Data Analysis
Data Interpretation
Statistical Analysis
Database Management
Data Visualisation
Report Writing
Attention to Detail

Some tips for your application 🫡

Understand the Role:Read the job description thoroughly to understand the key responsibilities and required skills for the Senior Housing Data Analyst position. Tailor your application to highlight your relevant experience in data analysis and decision-making.

Highlight Relevant Experience:In your CV and cover letter, emphasise your experience with data manipulation, analysis, and presentation. Provide specific examples of how you've used data to support decision-making in previous roles, especially in housing or similar sectors.

Showcase Technical Skills:Make sure to mention your proficiency in IT and software applications relevant to data analysis. Include any experience with complex databases and tools that are commonly used in the field, as this will demonstrate your capability to excel in the role.

Craft a Compelling Cover Letter:Write a cover letter that not only outlines your qualifications but also conveys your passion for improving housing services through data. Discuss how you can contribute to the Council's goals and enhance data visibility and performance information.

How to prepare for a job interview at Oxford City Council

Showcase Your Data Skills

Be prepared to discuss your experience with data analysis in detail. Highlight specific projects where you extracted, interpreted, and presented complex data sets, especially in a housing or public service context.

Understand the Role's Impact

Research how the Senior Housing Data Analyst role contributes to the overall goals of Oxford City Council. Be ready to explain how your skills can enhance data visibility and performance information for the housing services.

Prepare for Technical Questions

Expect questions about the software and databases you’ve used. Brush up on your knowledge of relevant IT applications and be ready to discuss how you've used them to solve problems or improve processes.

Demonstrate Customer Service Focus

Since the role involves supporting tenants and leaseholders, prepare examples that showcase your commitment to excellent customer service. Discuss how data-driven decisions can lead to better outcomes for service users.