Housing Data Analyst

Housing Data Analyst

London Temporary No home office possible
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At a Glance

  • Tasks: Analyse housing data and create insightful Power BI dashboards to improve services.
  • Company: Join a dynamic London borough focused on enhancing housing services for residents.
  • Benefits: Enjoy hybrid working, potential for extension, and opportunities for professional growth.
  • Why this job: Make a real impact on resident outcomes while collaborating with diverse partners.
  • Qualifications: Experience in housing data analysis, T-SQL, Power BI, and public sector knowledge required.
  • Other info: Refer a friend and earn vouchers if they get placed through Venn Group!

Interim Housing Data Analyst

Based in Central London, hybrid working

Length: 3 Months initially (potential for extension)

Inside IR35

We’re working with a dynamic London borough to recruit a Housing Data Analyst to drive data-led improvements across housing services. This crucial role sits at the heart of performance reporting, strategic planning, and compliance with consumer standards, with a direct impact on resident outcomes. The successful candidate will lead on managing data systems, building insightful Power BI dashboards, and turning complex datasets into actionable intelligence to help shape inclusive, effective housing services.

Key Responsibilities of the Interim Housing Data Analyst:

  • Manage, analyse and report on housing service data to improve delivery and measure performance
  • Design and develop Power BI dashboards for strategic and operational use
  • Predict demand, identify risks and trends, and support services with evidence-based decision making
  • Lead data-related workstreams across key housing projects and programmes
  • Collaborate with internal and external partners including Housing Needs, NHS, voluntary sector, and central government
  • Support statutory reporting and performance returns for government and regulatory bodies

Skills, experience and knowledge required of the Interim Housing Data Analyst:

  • Proven track record in housing data analysis, business intelligence, and performance reporting
  • Proficiency in T-SQL, Power BI, and Excel; experience building automated reports and dashboards
  • Experience working in or alongside public sector housing teams, with understanding of landlord compliance and consumer standards

Housing Data Analyst employer: Venn Group

As an employer, we pride ourselves on fostering a collaborative and inclusive work culture that empowers our employees to make a tangible impact in the community. Located in the heart of Central London, we offer hybrid working arrangements that promote work-life balance, alongside opportunities for professional growth through engaging projects and partnerships with key stakeholders in the housing sector. Join us to be part of a dynamic team dedicated to driving data-led improvements that enhance resident outcomes and shape effective housing services.
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Contact Detail:

Venn Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Housing Data Analyst

✨Tip Number 1

Familiarise yourself with the specific data systems and reporting tools used in housing services. Understanding how to manage and analyse data within these frameworks will give you a significant edge during interviews.

✨Tip Number 2

Brush up on your Power BI skills, especially in creating dashboards that can effectively communicate complex data insights. Consider building a sample dashboard that showcases your ability to turn data into actionable intelligence.

✨Tip Number 3

Network with professionals in the public sector housing field. Engaging with current or former Housing Data Analysts can provide you with valuable insights into the role and may even lead to referrals.

✨Tip Number 4

Stay updated on current trends and challenges in housing services, particularly those related to compliance and consumer standards. Demonstrating your knowledge of these issues can set you apart as a candidate who is genuinely invested in improving resident outcomes.

We think you need these skills to ace Housing Data Analyst

Housing Data Analysis
Business Intelligence
Performance Reporting
T-SQL Proficiency
Power BI Dashboard Development
Excel Skills
Automated Reporting
Data Management
Predictive Analytics
Risk Identification
Trend Analysis
Collaboration with Public Sector
Understanding of Landlord Compliance
Consumer Standards Knowledge
Evidence-Based Decision Making

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in housing data analysis, business intelligence, and performance reporting. Use specific examples that demonstrate your proficiency in T-SQL, Power BI, and Excel.

Craft a Compelling Cover Letter: Write a cover letter that addresses the key responsibilities outlined in the job description. Explain how your skills and experiences align with the role, particularly your ability to manage data systems and develop insightful dashboards.

Showcase Relevant Projects: If you have worked on projects involving public sector housing teams or have experience with landlord compliance, be sure to mention these in your application. Highlight any specific outcomes or improvements that resulted from your work.

Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a data analyst role.

How to prepare for a job interview at Venn Group

✨Showcase Your Data Skills

Make sure to highlight your experience with T-SQL, Power BI, and Excel during the interview. Prepare examples of how you've used these tools to analyse data and create insightful reports or dashboards in previous roles.

✨Understand the Housing Sector

Familiarise yourself with the current trends and challenges in the public sector housing landscape. Being able to discuss relevant issues will demonstrate your knowledge and commitment to improving housing services.

✨Prepare for Scenario Questions

Expect questions that ask you to solve hypothetical problems related to data analysis in housing. Practice articulating your thought process and how you would approach these scenarios using evidence-based decision-making.

✨Emphasise Collaboration Skills

Since the role involves working with various stakeholders, be ready to discuss your experience collaborating with different teams. Share specific examples of how you've successfully partnered with others to achieve common goals.

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