At a Glance
- Tasks: Analyse complex datasets to drive insights for energy sustainability projects.
- Company: Innovative organisation leading the energy transition and sustainability sector.
- Benefits: Competitive salary, hybrid work model, and strong career development opportunities.
- Other info: Collaborative team focused on real-world challenges in sustainability.
- Why this job: Shape the future of energy with impactful data-driven insights.
- Qualifications: 3+ years in data analysis, strong Excel and Power BI skills.
The predicted salary is between 35000 - 45000 £ per year.
An innovative organisation at the forefront of the energy transition and sustainability sector is seeking a Data Analyst to join their growing team. This is a unique opportunity to work on large-scale, real-world energy programmes, analysing high-volume data to generate insights that directly influence low-carbon strategy and policy decisions. You will play a key role in transforming complex datasets into actionable intelligence that supports the transition to a more sustainable future.
What You'll Be Doing
- Analyse and interpret large, complex datasets from live energy programmes and smart monitoring systems.
- Produce insightful reports and dashboards for internal teams, regulators and external stakeholders.
- Identify trends, anomalies and performance insights to drive operational improvements.
- Translate data findings into clear, structured briefings for senior stakeholders.
- Support evidence-based decision-making across commercial, operational and policy initiatives.
- Conduct market and policy research to complement data-driven recommendations.
- Collaborate with cross-functional teams and external partners on high-impact projects.
Requirements
- 3+ years' experience in a Data Analyst, Research Analyst, Economist or similar role.
- Strong ability to analyse, interpret and present complex data clearly.
- Advanced skills in Excel and data analysis tools (e.g. Power BI, SQL or similar desirable).
- Experience producing structured reports, insights and stakeholder briefings.
- Excellent problem-solving and organisational skills.
- Confident communicator, able to engage both technical and non-technical audiences.
Desirable
- Experience working with large-scale datasets or monitoring systems.
- Exposure to energy, utilities, sustainability or environmental sectors.
- Experience collaborating with external stakeholders or regulatory bodies.
- Interest in net-zero, decarbonisation or climate policy.
Why Apply?
- Work on high-impact projects shaping the future of energy.
- Influence real-world outcomes through data-driven insights.
- Join a collaborative, forward-thinking and purpose-led team.
- Gain exposure to policy, strategy and commercial decision-making.
- Strong career development within a growing and evolving sector.
If you're a Data Analyst in Belfast looking to apply your skills to meaningful, real-world challenges in energy and sustainability, we'd love to hear from you.
Data Analyst - Data Analyst (SQL/Power BI) - Belfast employer: HAYS Specialist Recruitment
Contact Detail:
HAYS Specialist Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Data Analyst (SQL/Power BI) - Belfast
✨Tip Number 1
Network like a pro! Reach out to people in the energy and sustainability sector on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using SQL and Power BI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and case studies. Practice explaining your thought process clearly, as you'll need to communicate complex data insights to both technical and non-technical audiences.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Analysts who are passionate about making a difference in the energy sector. Your next big opportunity could be just a click away!
We think you need these skills to ace Data Analyst - Data Analyst (SQL/Power BI) - Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis, especially using SQL and Power BI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about energy and sustainability. We love seeing candidates who are genuinely excited about making a difference in this sector.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex datasets and turned them into actionable insights. We’re looking for those who can not only analyse data but also communicate findings effectively to various audiences.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at HAYS Specialist Recruitment
✨Know Your Data Tools
Make sure you brush up on your SQL and Power BI skills before the interview. Be ready to discuss how you've used these tools in past projects, as well as any specific challenges you've faced and how you overcame them.
✨Understand the Energy Sector
Familiarise yourself with current trends in energy, sustainability, and climate policy. This will not only help you answer questions more effectively but also show your genuine interest in the role and the company's mission.
✨Prepare Insightful Examples
Think of specific examples where you've analysed complex datasets and produced actionable insights. Be prepared to explain your thought process and how your findings influenced decision-making in previous roles.
✨Engage with Stakeholders
Since the role involves communicating with both technical and non-technical audiences, practice explaining your data findings in simple terms. This will demonstrate your ability to translate complex information into clear, structured briefings for senior stakeholders.