Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform data into insights and support decision-making across the organisation.
- Company: Join a forward-thinking public sector organisation in Northern Ireland.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by contributing to data-driven improvements and performance reporting.
- Qualifications: Level 4 qualification or Level 3 with relevant experience in statistical analysis.
- Other info: Supportive environment with a focus on digital innovation and customer service.
The predicted salary is between 30000 - 42000 ÂŁ per year.
Location: Northern Ireland (Hybrid working available)
Contract: Temporary
Salary: Scale 6
Are you passionate about turning data into meaningful insight? Do you enjoy working with complex datasets, spotting trends, and supporting decision‑making across an organisation? If so, we’re recruiting a Data Processing & Analysis Officer on behalf of a large public‑sector organisation in Northern Ireland. This is an excellent opportunity for someone with strong analytical skills, a keen eye for detail and a genuine interest in data, research and performance reporting.
The Role
- Carry out day‑to‑day data extraction, cleansing, manipulation and analysis
- Provide accurate, timely and consistent information to internal and external stakeholders
- Develop and document methodologies for statistical and geospatial analysis
- Support performance reporting, dashboards and digital information systems
- Ensure compliance with GDPR, data governance and information management best practice
- Help maintain organisational datasets and contribute to open data publishing
- Assist with customer feedback exercises, trend analysis and operational reporting
Essential Criteria
To apply, you must meet one of the following qualification/experience routes:
- Option A: Level 4 qualification (Degree or HND – ideally with research or statistics component) and at least 1 year’s experience in a statistical analysis or research environment
- Option B: Level 3 qualification (A‑Levels or HNC) and at least 2 years’ experience in a statistical analysis or research environment
You must also demonstrate:
- Understanding of data processing, analysis and information management processes
- Experience undertaking research, interpreting and presenting data
- Strong working knowledge of Microsoft Office applications
- Excellent planning and organisational skills
- Ability to manage multiple deadlines
- Strong communication and interpersonal skills
- High attention to detail and a commitment to high‑quality work
- A strong customer‑focused approach
- A full, current UK driving licence (Category B)
Desirable (not essential):
- Experience working in the public sector
- Experience with GIS tools
- Experience analysing large or complex datasets
Why Apply?
You’ll be joining a supportive, forward‑thinking organisation at the heart of public service, with the chance to contribute to digital improvement, performance reporting and data‑driven decision‑making across the region.
Data Processing in Belfast employer: hays-gcj-v4-pd-online
Contact Detail:
hays-gcj-v4-pd-online Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Processing in Belfast
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use examples from your experience to demonstrate how you've tackled data challenges in the past.
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications with a friendly email. It shows your enthusiasm and keeps you on their radar. Plus, it’s a great way to ask about the next steps.
✨Tip Number 4
Check out our website for the latest job openings. We’re always looking for talented individuals like you, and applying directly through us can give you an edge!
We think you need these skills to ace Data Processing in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your analytical skills and any relevant experience in data processing or research to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data and how your background makes you a great fit for the role. Be genuine and let your personality shine through!
Showcase Your Skills: Don’t just list your qualifications; demonstrate how you've used them in real-world scenarios. Whether it’s data analysis or project management, give us examples that show your expertise.
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, so don’t miss out on this opportunity!
How to prepare for a job interview at hays-gcj-v4-pd-online
✨Know Your Data Inside Out
Before the interview, make sure you’re familiar with the types of data processing and analysis relevant to the role. Brush up on your knowledge of statistical methods and tools, especially if you have experience with GIS or complex datasets. Being able to discuss specific examples will show your passion and expertise.
✨Showcase Your Analytical Skills
Prepare to discuss past experiences where you’ve successfully extracted, cleansed, or manipulated data. Think about how you’ve turned raw data into actionable insights and be ready to explain your thought process. This will demonstrate your analytical mindset and problem-solving abilities.
✨Highlight Your Attention to Detail
Given the importance of accuracy in data processing, be prepared to share examples that showcase your meticulousness. Whether it’s a project where you caught an error or a time when your attention to detail made a significant impact, these stories will resonate well with the interviewers.
✨Communicate Effectively
Strong communication skills are key for this role. Practice explaining complex data concepts in simple terms, as you may need to present findings to stakeholders who aren’t data-savvy. Being able to convey your ideas clearly will set you apart and show that you can work collaboratively across teams.
