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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 innovation and service excellence.
- Benefits: Enjoy a competitive salary, generous leave, and a strong focus on employee wellbeing.
- Other info: Opportunity for growth into data engineering and AI in a supportive environment.
- Why this job: Make a real difference by using data to improve lives and drive positive change.
- Qualifications: Strong analytical skills, SQL proficiency, and experience with Power BI required.
The predicted salary is between 45000 - 45000 £ per year.
Salary: Circa £45,000 per annum
Hours: Full Time, 37 hours per week
Location: Maidenhead - with opportunity to balance with remote working
About the Role
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 will also play a key part in improving data quality, supporting governance, and getting us ready for greater use of automation and AI. We work in a Microsoft-based environment, using tools such as 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.
About You
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. Above all, you want your work to mean something — you’d rather use your skills to improve people’s lives.
Skills and Experience
- 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)
All technical and analytical skills referenced in this advert will be assessed at interview. Candidates should be prepared to demonstrate their practical ability as part of the selection process.
Equal Opportunity
Housing Solutions is committed to being an equal opportunities employer and fostering a diverse and inclusive workplace. We are proud to be a Disability Confident Employer, under the Government’s Disability Confident Scheme.
Benefits
- Generous company pension contribution
- Strong focus on employee wellbeing, including generous annual leave
- Healthy Lives, Healthy Minds programme
- Broad development fund and in‑house development programmes
Closing date: 18 May 2026.
Data Analyst in Maidenhead employer: Housing Solutions
Contact Detail:
Housing Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Maidenhead
✨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 the interview process. It’s all about making connections that can give you an edge!
✨Tip Number 2
Prepare for practical assessments! Since your technical skills will be tested, brush up on SQL, Power BI, and Python. Create a few sample dashboards or reports to showcase your abilities. Practice makes perfect, and it’ll help you feel more confident during the interview.
✨Tip Number 3
Show your passion for data! During interviews, share specific examples of how you've used data to solve problems or improve processes in the past. This will demonstrate your analytical mindset and genuine interest in making a difference with data.
✨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 serious about joining our team and contributing to our mission of improving lives through data.
We think you need these skills to ace Data Analyst in Maidenhead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your analytical skills, experience with SQL, Power BI, and any relevant projects that showcase your ability to turn raw data into meaningful insights.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data and how you can contribute to our Service Excellence and Innovation team. Share specific examples of how you've improved data quality or governance in previous roles.
Showcase Your Technical Skills: Don’t shy away from listing your technical skills! We want to see your experience with SQL, Python, and cloud-based environments. If you’ve built dashboards or automated processes, make sure to mention those achievements.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Housing Solutions
✨Know Your Data 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, as well as any challenges you faced and how you overcame them.
✨Showcase Your Analytical Skills
Prepare examples of how you've transformed raw data into meaningful insights. Think about specific reports or dashboards you've created and be ready to explain your thought process and the impact of your work.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You’ll need to communicate effectively with both technical and non-technical colleagues, so think of ways to demonstrate your ability to bridge that gap.
✨Demonstrate Your Curiosity
Express your genuine interest in data and how it can improve services. Be prepared to discuss trends in data analytics, automation, and AI, and how you see yourself contributing to the team’s growth in these areas.