At a Glance
- Tasks: Analyse and validate complex datasets to support healthcare decision-making.
- Company: Forward-thinking public sector organisation in Belfast.
- Benefits: Weekly pay, holiday pay, pension contribution, and 24/7 support.
- Other info: Collaborative team environment with ongoing role availability.
- Why this job: Make a real impact on healthcare data quality and service delivery.
- Qualifications: Degree in Computer Science or related field; Excel experience required.
The predicted salary is between 38616 - 46141 £ per year.
About the Role
MPA Recruitment is currently recruiting on behalf of our public sector client for a Band 6 Senior Data Analyst based in Belfast.
This is an excellent opportunity for an experienced data professional to support the delivery of high-quality information services within a busy healthcare environment.
The successful candidate will play a key role in analysing and validating complex data, ensuring the accuracy and quality of information, and supporting informed decision-making across the organisation.
Working closely with colleagues and stakeholders, you will contribute to the continuous improvement of data quality, reporting processes and information assurance while supporting service delivery through effective data management and analysis.
Key Responsibilities
- Analyse, validate and interpret complex datasets to support operational and strategic decision-making.
- Produce accurate reports and data analysis to support service delivery and performance monitoring.
- Ensure the quality, integrity and accuracy of information through validation and quality assurance processes.
- Support the development and continuous improvement of information systems and reporting processes.
- Present data and findings in a clear and meaningful format for a range of stakeholders.
- Work collaboratively with internal teams to understand reporting requirements and deliver high-quality information solutions.
- Maintain high standards of confidentiality and data governance in line with organisational policies.
- Contribute to service improvement by identifying opportunities to enhance data quality and reporting practices.
What We’re Looking for?
Essential Criteria
Applicants must have
- A University degree (or equivalent recognised qualification) in Computer Science or a related discipline.
- A degree containing a substantial computing or data management component.
- Experience working with Microsoft Excel, including analysing and manipulating data.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and accuracy.
- The ability to interpret, validate and present complex information.
- Excellent communication and organisational skills.
- The ability to work independently and as part of a team.
Additional Information
- An Access NI Check may be required for this role.
What we can offer you
- Weekly pay
- Holiday pay
- Pension contribution
- 24/7 support from our dedicated recruitment consultants
- Access to a wide range of public sector opportunities
- Ongoing role availability — if one placement ends, we aim to secure another.
Why Apply?
- Join a forward-thinking public sector organisation.
- Develop your experience within healthcare data and information services.
- Play an important role in improving data quality and supporting service assurance.
- Work within a collaborative and professional team environment.
MPA Recruitment is an equal opportunities employer.
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Senior Data Analyst employer: MPA Recruitment
As a Secondment General Manager at our Ballymena office, you will join a dynamic and supportive work culture that prioritises employee growth and development. We offer comprehensive training and a collaborative environment where your leadership skills can thrive, alongside competitive benefits and the potential for a permanent role. Our commitment to compliance and operational excellence ensures that you will be part of a team dedicated to delivering impactful projects in the manufacturing and engineering sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like MPA Recruitment.
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We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at MPA Recruitment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at MPA Recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at MPA Recruitment
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at MPA Recruitment!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.