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- Tasks: Transform data into actionable insights that improve services and support decision-making.
- Company: Join Ocean Housing Ltd, a purpose-driven housing provider making a real impact.
- Benefits: Enjoy competitive salary, family-friendly policies, and commitment to training and development.
- Other info: Dynamic work environment with opportunities for growth and learning.
- Why this job: Make a difference by turning data into meaningful action for communities.
- Qualifications: A Level 4 qualification in Data Science or related field; strong SQL and Excel skills.
The predicted salary is between 37500 - 37500 ÂŁ per year.
Turn data into insight. Insight into impact.
Are you passionate about transforming data into clear, actionable insight that improves services and supports better decision‑making? Whether you’re an early‑career data professional or a recent graduate looking to apply and develop your skills in a real‑world environment, Ocean Housing Ltd is seeking an ICT Data Analyst to play a key role in strengthening how we manage, analyse and use data across the organisation. This is an opportunity to join a purpose‑driven housing provider where your work will directly support regulatory compliance, transparency, operational effectiveness and better outcomes for our customers and communities.
About the Role
As an ICT Data Analyst, you’ll ensure operational data is accurate, validated, auditable, and accessible, enabling colleagues to confidently analyse trends, meet regulatory requirements, and make evidence‑based decisions. You’ll design insightful reports, dashboards, and visualisations that bring complex data to life and support both strategic and day‑to‑day operations. This is a practical, hands‑on role that offers the opportunity to build confidence and experience applying analytical techniques in a live organisational setting. You will work closely with teams across the business, developing into a trusted data partner who translates business questions into meaningful analytical outputs. Strong data governance, data quality improvement and continuous development of reporting capability will be central to this role. This role will make extensive use of Power BI, including DAX for data modelling and advanced calculations.
Key Responsibilities
- Validate, cleanse, and prepare datasets to maintain high standards of data quality and integrity
- Analyse historical and operational data to identify trends and actionable insights
- Design and deliver clear reports, dashboards, and visualisations (e.g. using Power BI including DAX)
- Apply data governance frameworks and highlight data quality issues for resolution
- Support compliance, transparency, and robust organisational governance
- Collaborate with stakeholders to understand requirements and improve data-driven decision making
- Maintain accurate documentation and contribute to wider ICT team activities when required
About You
You’re analytical, curious, and detail‑driven, with the confidence to turn numbers into meaningful stories. You enjoy working collaboratively and explaining data insights in a way that non‑technical audiences can easily understand. This role would suit someone who:
- Has practical experience working with business data (through employment, placement, internship, graduate role or equivalent experience)
- Is looking to build confidence in data quality, reporting and stakeholder engagement within a live organisational environment
- Values structured working practices, governance and accuracy
- Is comfortable working on site initially to build strong foundations and working relationships across the organisation
You’ll bring:
- A Level 4 qualification in Data Science, Statistics, Computer Science, or a related discipline
- Strong SQL skills and advanced Excel expertise
- Experience creating reports and dashboards, ideally using Power BI
- A solid understanding of data validation, reporting, and statistical concepts
- Excellent communication, organisation, and problem‑solving skills
- A proactive approach, with a passion for continuous professional development
- Experience with scripting languages (such as Python or R), data governance standards, or working in the social housing sector would be an advantage—but not essential.
Support and Development
The postholder will receive structured support during their initial period, including mentoring, access to organisational data standards, governance frameworks and reporting tools. This role is well suited to an analyst looking to build confidence, credibility and sector experience in a supportive environment where learning is encouraged and analytical capability is actively developed.
Location and Attendance
This role is based at our St Austell office and requires regular attendance, particularly during the first three months. Applicants must be able to attend the office as required in line with the role and hybrid working expectations.
If you’re excited about using data to drive positive change and want to be part of a collaborative, forward‑thinking organisation, we’d love to hear from you. Apply now and help Ocean Housing turn data into meaningful action. We may close this vacancy early if we receive sufficient applications—so apply soon!
Data Analyst employer: Ocean Housing
Contact Detail:
Ocean Housing 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 Ocean Housing Ltd on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. Personal connections can give you an edge!
✨Tip Number 2
Prepare for the interview by practising common data analyst questions. Think about how you can showcase your SQL skills and experience with Power BI. We want to see how you can turn data into actionable insights, so be ready to share examples!
✨Tip Number 3
Show your passion for data! During interviews, express why you love transforming data into meaningful stories. Share your enthusiasm for improving services and supporting better decision-making—this aligns perfectly with Ocean's mission.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the Ocean Housing team. Get your application in before the deadline!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Analyst role. Highlight your relevant skills, especially in SQL and Power BI, and show how your experience aligns with what we’re looking for at Ocean Housing.
Showcase Your Analytical Skills: Use your application to demonstrate your analytical mindset. Include examples of how you've turned data into actionable insights in previous roles or projects. We love seeing how you can make numbers tell a story!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language and avoid jargon where possible. Remember, we want to understand your skills and experiences without getting lost in complex terms.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the details you need about the role and our company there!
How to prepare for a job interview at Ocean Housing
✨Know Your Data Tools
Familiarise yourself with Power BI and DAX before the interview. Be ready to discuss how you've used these tools in past projects or coursework, as this will show your practical experience and readiness for the role.
✨Prepare Insightful Examples
Think of specific instances where you've turned data into actionable insights. Prepare to share these examples during the interview, focusing on the impact your analysis had on decision-making or operational improvements.
✨Understand the Company’s Mission
Research Ocean Housing Ltd and its mission to provide quality homes and services. Be prepared to explain how your values align with theirs and how you can contribute to their goals through your analytical skills.
✨Practice Clear Communication
Since you'll need to explain complex data insights to non-technical audiences, practice articulating your thoughts clearly. Consider doing mock interviews with friends or family to refine your ability to communicate effectively.