At a Glance
- Tasks: Analyse data to support financial planning and organisational change initiatives.
- Company: Public sector client focused on modernisation and long-term planning.
- Benefits: Hybrid working, competitive pay, and opportunities for professional growth.
- Other info: Join a dynamic team with a focus on innovation and collaboration.
- Why this job: Make a real impact by providing insights that drive decision-making.
- Qualifications: Experience in data analysis with strong analytical and communication skills.
The predicted salary is between 37338 - 44962 € per year.
Duration: 12 months
Location: (Newtownards, Dundonald/Newtownards/Downpatrick/Lisburn)
Working Pattern: Hybrid - flexibility around some home working
Overview
My public sector client is developing a long‑term financial plan and undertaking significant modernisation across multiple functions. This includes the implementation of a new HR and Finance system, alongside wider organisational change. To support this programme, they are seeking an experienced Data Analyst who can provide high‑quality analysis, reporting and insight to inform decision‑making across financial planning, workforce, operations, and transformation projects. The successful candidate will work closely with Finance, HR, Project Management and Change teams to ensure accurate data flows, robust analytics, and meaningful interpretation of key organisational metrics.
Key Responsibilities
- Financial & Operational Analytics
- Analyse financial, workforce and operational data to support the Trust's long‑term financial planning.
- Build dashboards and reports that provide insight into performance, trends, and risk areas.
- Support scenario modelling, forecasting and demand analysis for service planning.
- Provide recommendations based on data trends to inform senior leadership decisions.
- HR & Finance System Implementation
- Support data migration, validation and reconciliation activities.
- Assess data quality, identify gaps, and implement improvement actions.
- Work with system implementation teams to ensure accurate reporting structures and data models.
- Develop reporting tools and templates for the new system environment.
- Project & Change Support
- Provide analytical input across key change programmes, including process redesign and service improvement.
- Translate complex data into clear, actionable insights for project teams.
- Monitor KPIs and deliver analytics that support programme governance.
- Support benefits tracking and measurement across change initiatives.
Essential Criteria
- Proven experience as a Data Analyst, Business Intelligence Analyst, or similar analytical role.
- Strong analytical skills with the ability to interpret complex datasets and present findings clearly.
- Experience working with financial, HR, operational or organisational datasets.
- Proficiency in relevant tools such as: Excel (advanced), SQL, Power BI / Tableau or similar visualisation tools.
- Statistical or data manipulation tools (e.g., Python, R) - desirable but not essential.
- Ability to manage multiple projects and work effectively with cross‑functional teams.
- Excellent communication skills, able to translate data into meaningful insights for non‑technical stakeholders.
- Strong problem‑solving ability and attention to detail.
Desirable Criteria
- Experience within the public sector, health service, or large complex organisations.
- Familiarity with HR/Finance system implementations, data migration, or digital transformation.
- Knowledge of NHS or HSC reporting structures, financial frameworks, or workforce metrics.
- Understanding of project governance, benefits realisation, and service improvement methodologies.
Key Competencies
- Analytical mindset with strong critical‑thinking ability.
- Stakeholder engagement and collaborative working.
- Ability to work under pressure and meet deadlines.
- High standards of accuracy, confidentiality, and data governance compliance.
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
Data Analyst - Contract - Immediate Start employer: Hays
Join a forward-thinking public sector organisation in Newtownards, where your expertise as a Data Analyst will directly contribute to significant modernisation efforts and long-term financial planning. Enjoy a hybrid working pattern that offers flexibility, alongside a collaborative work culture that values analytical insights and fosters professional growth through diverse project involvement. With a commitment to employee development and a focus on impactful change, this role provides a meaningful opportunity to make a difference in the community.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Contract - Immediate Start
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by researching the company and its projects. Understand their financial planning and operational needs so you can tailor your responses to show how your skills as a Data Analyst can directly benefit them.
✨Tip Number 3
Showcase your analytical skills with real examples! Be ready to discuss specific projects where you've used tools like SQL or Power BI to drive insights. This will help you stand out as a candidate who can deliver actionable results.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team and make an impact.
We think you need these skills to ace Data Analyst - Contract - Immediate Start
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight your experience with financial, HR, and operational datasets, and don’t forget to showcase your analytical skills and tools you’ve used like Excel or SQL.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific projects where you've provided insights that influenced decision-making, and show your enthusiasm for the position.
Showcase Your Analytical Mindset:In your application, emphasise your analytical mindset and problem-solving abilities. Provide examples of how you've translated complex data into actionable insights, especially in a collaborative environment.
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 get you on board quickly. Don’t miss out on this opportunity!
How to prepare for a job interview at Hays
✨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with data analysis. Be ready to discuss specific projects where you analysed financial, HR, or operational data. Highlight how your insights influenced decision-making and what tools you used, like Excel or Power BI.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical mindset by discussing complex datasets you've worked with. Think of examples where you translated data into actionable insights for non-technical stakeholders. This will show your ability to communicate effectively across teams.
✨Familiarise Yourself with the Organisation
Research the public sector client and their current projects. Understanding their long-term financial planning and modernisation efforts will help you tailor your responses. Mention how your skills can directly support their goals during the interview.
✨Prepare Questions for Them
Have a few thoughtful questions ready about the role and the team dynamics. Ask about their current challenges in data migration or system implementation. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
