At a Glance
- Tasks: Join a team to analyse data and drive business transformation through insights and automation.
- Company: A growing organisation embracing digital transformation and innovation.
- Benefits: Competitive salary, hybrid working, flexible hours, and ongoing learning opportunities.
- Other info: Clear career progression and exposure to modern analytics tools.
- Why this job: Make an impact by leveraging data analytics and AI technologies in a collaborative environment.
- Qualifications: Experience in data analysis, SQL skills, and strong analytical abilities required.
The predicted salary is between 30000 - 40000 £ per year.
My client, a growing organisation undergoing significant digital transformation, is hiring a Data Analyst to join their Business Transformation team. This is an excellent opportunity for an ambitious analyst looking to develop their skills across data analytics, business intelligence, automation, and AI-enabled technologies while supporting strategic decision-making across the organisation.
Competitive salary and benefits package
- Hybrid working options
- Flexible working arrangements
- Ongoing learning and development opportunities
- Clear career progression within a growing transformation function
You will join a collaborative team focused on delivering data-driven improvements across the business. Working closely with stakeholders across operational, technology, and leadership teams, you will help develop reporting solutions, generate actionable insights, and support automation and transformation initiatives.
As a Data Analyst, you will:
- Design and maintain SQL-based reporting solutions.
- Develop dashboards and KPI reporting within Power BI.
- Perform detailed analysis to identify trends, risks, and opportunities.
- Contribute to the adoption of modern analytics technologies, including AI-enabled solutions and automation tools.
- Help improve business performance and operational efficiency.
The Role:
- Design, develop, and maintain SQL queries, datasets, and reporting solutions.
- Build and enhance Power BI dashboards, KPI packs, and visual reporting tools.
- Work with stakeholders to gather requirements and translate business needs into analytical solutions.
- Deliver meaningful insights through detailed analysis of business data.
- Support continuous improvement and business transformation initiatives through data-driven recommendations.
- Assist in the development of AI-enabled analytics capabilities and modern reporting approaches.
- Identify opportunities for process automation using Microsoft Power Platform tools.
- Contribute to data modelling, reporting standards, and management information frameworks.
- Ensure data quality through validation, reconciliation, governance, and documentation activities.
- Collaborate with cross-functional teams to deliver measurable business value through data and technology.
The Person:
- At least one year's experience in a data analysis, reporting, business intelligence, or similar technical role.
- Intermediate SQL skills with a desire to further develop technical expertise.
- Strong analytical and problem-solving abilities.
- Advanced Excel skills and confidence working with large datasets.
- Excellent attention to detail and commitment to data accuracy.
- Strong communication skills with the ability to engage effectively with stakeholders.
- Ability to manage priorities and work to deadlines.
Desirable Experience:
- Experience using Power BI or similar business intelligence tools.
- Exposure to Microsoft Power Platform technologies including Power Apps and Power Automate.
- Awareness of Microsoft Fabric or other modern cloud-based data platforms.
- Understanding of data modelling and database structures.
- Interest in AI-enabled analytics and emerging data technologies.
Education:
- Third-level qualification in Data Analytics, Business, Computer Science, Finance, Mathematics, Statistics, or a related discipline.
For further information on this opportunity, or to discuss other Data Analytics, Business Intelligence, or Business Transformation roles, apply via the link or contact us for a confidential discussion.
Successful applicants may be required to complete pre-employment screening, including references and right-to-work checks, in line with company policy.
Data/BI Analyst - Belfast in Dundonald employer: VANRATH
Join a dynamic and innovative organisation in Belfast that prioritises employee growth and development through ongoing learning opportunities and a clear career progression path. With a collaborative work culture and flexible hybrid working arrangements, this company is committed to leveraging data analytics and AI technologies to drive business transformation, making it an ideal environment for ambitious analysts seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data/BI Analyst - Belfast in Dundonald
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We think you need these skills to ace Data/BI Analyst - Belfast in Dundonald
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!
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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!
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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
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✨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.
