Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform raw data into insights and create impactful dashboards for decision-making.
- Company: Join a forward-thinking team at Housing Solutions, shaping the future of data.
- Benefits: Enjoy a range of employee benefits, including professional development and a supportive work environment.
- Other info: Opportunities for growth into data engineering and AI in a dynamic, inclusive workplace.
- Why this job: Make a real difference by using data to improve people's lives and services.
- Qualifications: Strong analytical skills, SQL experience, and a passion for data-driven solutions.
The predicted salary is between 30000 - 40000 £ per year.
We're building a new data team — and we're looking for a skilled, curious Data Analyst to help shape it. You'll join our Service Excellence and Innovation team at a genuinely exciting moment, with the chance to influence how data is used, delivered and trusted across Housing Solutions. You'll turn raw data into reliable insight, produce dashboards and analysis that support operational and transformation decisions, and help us move away from manual spreadsheets toward automated, well-governed solutions. You'll also play a key part in improving data quality, supporting governance, and getting us ready for greater use of automation and AI. We're a Microsoft-based environment, so you'll be working across tools like SQL Server, Azure and Power BI. As our capability grows, there's significant scope to move into data engineering, AI and wherever the landscape takes us — and we'll invest in your development if you bring the curiosity and commitment to grow with us.
You bring strong analytical skills, a problem‑solving mindset and a genuine interest in using data to improve services. You enjoy working with structured datasets, transforming raw information into meaningful insight, and producing clear, accurate and well‑structured reports and dashboards. You understand the importance of data quality, governance and trusted information in decision‑making. You communicate clearly with both technical and non‑technical colleagues, work with accuracy and attention to detail, and can manage competing priorities effectively. Knowledge of the housing sector is helpful but not essential — what matters most is your curiosity and your commitment to good data practice. Above all, you want your work to mean something — you'd rather use your skills to improve people's lives.
Skills and Experience We're Looking For:
- Confident writing SQL and working with data from multiple sources
- Experience building reports and dashboards in Power BI
- Working knowledge of Python for data transformation, automation or analysis
- Experience documenting datasets, definitions and reporting processes
- Familiarity with cloud‑based data environments or analytics engineering practices (desirable)
Equal Opportunities Statement: At Housing Solutions, we are committed to being an equal opportunities employer and fostering a diverse and inclusive workplace. We’d love to hear from candidates from all backgrounds and experiences. Housing Solutions are proud to be a Disability Confident Employer, under the Governments Disability Confident Scheme.
Employee Benefits: Housing Solutions offer a wide range of benefits for our employees. For further details on our benefits please view the attached Benefits Package Overview. Or head to our website where you can find additional information: Company Benefits.
Data Analyst in England employer: Housing Solutions
Contact Detail:
Housing Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in England
✨Tip Number 1
Network like a pro! Reach out to people in the data field, especially those working with SQL, Power BI, or in the housing sector. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best dashboards and reports. This is your chance to demonstrate how you turn raw data into meaningful insights — make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common data scenarios. Be ready to discuss how you’ve improved data quality or automated processes in the past. We want to see your problem-solving mindset in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Analyst in England
Some tips for your application 🫡
Show Your Curiosity: We want to see your passion for data! In your application, highlight any projects or experiences where you've used data to solve problems or improve services. Let us know how your curiosity drives you to explore new tools and techniques.
Be Clear and Structured: When writing your application, make sure it's easy to read and well-organised. Use clear headings and bullet points to break up information. This will help us quickly see your skills and experience, especially when it comes to producing reports and dashboards.
Tailor Your Application: Don’t just send a generic application! Make sure to tailor your CV and cover letter to the Data Analyst role. Mention specific skills like SQL, Power BI, and Python, and explain how they relate to the job description. We love seeing how you connect your experience to what we’re looking for.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you have all the latest info about the role. Plus, it shows you're keen on joining our team at Housing Solutions!
How to prepare for a job interview at Housing Solutions
✨Know Your Tools
Familiarise yourself with SQL Server, Azure, and Power BI before the interview. Be ready to discuss how you've used these tools in past projects or how you plan to leverage them in this role. Showing that you can hit the ground running will impress your interviewers.
✨Showcase Your Analytical Skills
Prepare examples of how you've transformed raw data into meaningful insights. Think about specific projects where your analysis led to improved decision-making or operational efficiency. This will demonstrate your problem-solving mindset and your genuine interest in using data to improve services.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You’ll need to communicate with both technical and non-technical colleagues, so being able to break down your work will show that you can bridge the gap between different teams effectively.
✨Emphasise Your Curiosity
During the interview, express your eagerness to learn and grow within the data field. Talk about your commitment to good data practices and how you stay updated on industry trends, especially regarding automation and AI. This will resonate well with their focus on development and innovation.