At a Glance
- Tasks: Transform complex data into actionable insights that improve public services.
- Company: Join a large public sector organisation committed to excellence and equality.
- Benefits: Enjoy a competitive salary, hybrid working, generous leave, and a pension scheme.
- Other info: Opportunity for career growth and leading your own data strategy.
- Why this job: Make a real difference in communities while developing your analytical skills.
- Qualifications: Degree in a related field and experience with SQL, Python, or similar tools.
The predicted salary is between 45000 - 50000 £ per year.
Do you want your analysis to make a real difference to public services? Join a growing Insights team in Belfast, where your work will turn complex data into clear knowledge that drives faster, better decisions across Northern Ireland.
Salary/Benefits
- £45,000-£50,000 per annum
- Hybrid working
- Flexible working hours
- Generous annual leave allowance plus public holidays
- Defined benefit pension scheme
- The opportunity to lead your own strand of a data strategy and line manage project support staff
About your next employer
Your next employer is a large public sector organisation delivering essential services across Northern Ireland, with a strong commitment to equality of access and excellence in service delivery. As part of a growing Data and Analytics function, you'll work alongside major transformation programmes and services across the organisation, helping project teams make the most of the data they collect and building better workflows that turn information into insight.
About you
- A degree in a related field (e.g. Science, Technology, Engineering, ICT, Statistics, Mathematics, Finance or Business)
- Experience analysing large, structured datasets using SQL, Power Query, Python, R or similar
- Confident building dashboards and reports in a business intelligence tool such as Power BI, Tableau or Qlik, and presenting findings clearly to non-technical audiences
- Experience working with stakeholders to understand their data needs and translate them into useful analytical outputs
- Able to analyse business processes, document data or system requirements and make technical recommendations
- Strong organisational skills, with the ability to manage multiple data projects, prioritise work and adapt as requirements change
- A genuine interest in learning and keeping up with developments in data and digital technology
- Access to a car or suitable alternative transport for occasional travel
Nice to have
- Experience working with enterprise systems
- Knowledge of predictive analytics, artificial intelligence or machine learning
- Experience working in the public sector or another complex organisation
What you'll do
- Interpret and analyse data using statistical techniques, spotting trends, patterns and processing bottlenecks in complex datasets
- Build clear, engaging Power BI dashboards and reports that support better decision-making by service leads and senior leaders
- Review how data is collected, exchanged and stored, recommending improvements to data quality, security and efficiency
- Clean and validate data, and develop database processes and data collection systems that improve quality
- Lead reviews of data business processes and recommend technical developments that step-change efficiency
Bring your analytical expertise to a role where your work can make a lasting difference to communities across Northern Ireland - apply today and take the next step in your career.
Data Analyst in Belfast employer: VANRATH
As a Business Development Manager with our esteemed electrical wholesale client, you will thrive in a dynamic work culture that prioritises employee growth and development. With a competitive salary package, including bonuses and a company car, you will enjoy the flexibility of a field-based role while building meaningful relationships with customers in the Enniskillen area. Join a market leader that values innovation and offers exceptional career advancement opportunities in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Belfast
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like VANRATH!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at VANRATH.
✨Leverage Professional Networks
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 VANRATH.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at VANRATH, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst in Belfast
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 VANRATH, 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 VANRATH. 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 VANRATH
✨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 VANRATH!
✨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.
