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- Tasks: Transform raw data into insights and create impactful dashboards for decision-making.
- Company: Join a forward-thinking team at Housing Solutions, focused on data excellence.
- Benefits: Enjoy a range of employee benefits and opportunities for professional growth.
- Other info: Diverse and inclusive workplace with a commitment to equal opportunities.
- Why this job: Make a real difference by using data to improve people's lives.
- Qualifications: Strong analytical skills and experience with SQL, Power BI, and Python.
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 employer: Housing Solutions
Contact Detail:
Housing Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at Housing Solutions on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Data Analyst role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Power BI skills. We recommend creating a few sample dashboards or reports to showcase your abilities. Being able to demonstrate your technical skills in real-time can really impress the hiring team.
✨Tip Number 3
Show your curiosity! During interviews, share examples of how you've used data to solve problems or improve processes. We love candidates who are passionate about using data to make a difference, so let that shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Housing Solutions.
We think you need these skills to ace Data Analyst
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, keep it clear and well-structured. Use bullet points or headings to make it easy for us to read. We love seeing reports and dashboards that are easy to understand, so show us you can do the same with your application!
Tailor Your Experience: Make sure to tailor your application to the role of Data Analyst. Highlight your experience with SQL, Power BI, and any relevant projects. We’re looking for how your skills align with our needs, so don’t hold back on showcasing your expertise!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important details. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Housing Solutions
✨Know Your Tools
Make sure you're familiar with SQL Server, Azure, and Power BI. Brush up on your skills and be ready to discuss how you've used these tools in past projects. Being able to talk confidently about your experience will show that you're the right fit for the role.
✨Showcase Your Analytical Skills
Prepare examples of how you've transformed raw data into meaningful insights. Think about specific instances 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 make a difference.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You'll likely need to communicate with both technical and non-technical colleagues, so being able to convey your ideas clearly is crucial. Consider doing mock interviews with friends to refine your communication style.
✨Emphasise Your Curiosity
During the interview, express your eagerness to learn and grow within the data field. Talk about any recent trends in data analytics or AI that excite you, and how you see yourself contributing to the team’s goals. This will show that you're not just looking for a job, but are genuinely invested in the future of data at Housing Solutions.