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, and perform detailed analysis to identify trends, risks, and opportunities. You will also contribute to the adoption of modern analytics technologies, including AI-enabled solutions and automation tools, helping to 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 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 fostering a supportive environment where data-driven insights lead to meaningful business transformation. Embrace the chance to work with cutting-edge technologies and contribute to impactful projects while enjoying a competitive salary and benefits package.
StudySmarter Expert Advice🤫
We think this is how you could land Data/BI Analyst - Belfast
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on 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 practising common questions and showcasing your analytical skills. Use real-life examples from your experience to demonstrate how you've tackled data challenges and delivered insights.
✨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 in the hiring process.
✨Tip Number 4
Check out our website for the latest job openings. We’re always looking for talented individuals like you to join our team. Apply directly through us for a better chance of landing that dream role!
We think you need these skills to ace Data/BI Analyst - Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Analyst. Highlight your SQL skills, experience with Power BI, and any relevant projects that showcase your analytical prowess. We want to see how you can contribute to our Business Transformation team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how your skills align with our mission at StudySmarter. Don’t forget to mention any experience with AI-enabled technologies or automation tools.
Showcase Your Analytical Skills:In your application, provide examples of how you've used data to drive decision-making in previous roles. Whether it's through detailed analysis or developing reporting solutions, we want to see your problem-solving abilities in action!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of success. It’s the easiest way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at VANRATH
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with SQL queries and how you've used them in past projects. Practising some common SQL problems can really help you feel more confident.
✨Show Off Your Power BI Skills
Since this role involves building dashboards and KPI reporting in Power BI, it’s a good idea to have a couple of examples ready to share. If you’ve created any impressive visual reports or dashboards, be ready to talk about the process and the impact they had.
✨Understand the Business Context
Familiarise yourself with the company’s business model and how data analytics plays a role in their transformation. This will help you tailor your answers to show how your skills can directly contribute to their goals and initiatives.
✨Prepare for Stakeholder Engagement Questions
As you'll be working closely with various teams, expect questions about how you gather requirements and communicate insights. Think of examples where you successfully collaborated with stakeholders to deliver data-driven solutions.
