At a Glance
- Tasks: Transform operational data into insights that boost performance and efficiency.
- Company: Fast-growing UK clean energy and infrastructure organisation.
- Benefits: Collaborative work environment with opportunities for professional growth.
- Other info: Join a dynamic team focused on improving operational performance.
- Why this job: Make a real impact in the clean energy sector while developing your analytical skills.
- Qualifications: 2+ years as a Data Analyst, SQL expertise, and strong attention to detail.
The predicted salary is between 35000 - 45000 € per year.
We're working with a fast-growing UK-based clean energy and infrastructure organisation who operate complex, real-world assets and are investing heavily in data to improve operational performance and decision-making. They're now looking for a Data Analyst to join their Data & Systems function, working closely with engineering and field teams to turn operational data into meaningful insight that improves performance, reliability, and efficiency.
This is a highly collaborative role where you'll sit close to the business, not just building reports, but helping teams understand what the data is saying and how to act on it.
The RoleYou'll be responsible for developing and maintaining reporting and dashboards (Power BI & Excel), working with operational datasets, and partnering with engineering teams to translate real-world performance data into actionable insight. You'll also help improve data quality, reporting processes, and how performance metrics are used across the organisation.
Required skills & experience- 2+ years' experience in a Data Analyst / Reporting role
- SQL experience for querying and analysing datasets
- Strong attention to detail and data accuracy mindset
- Ability to communicate insights to non-technical stakeholders
- Experience in energy, utilities, infrastructure, construction, logistics, or similar operational environments
- Exposure to SCADA or other operational/asset data systems
- Understanding of maintenance, performance, or operational KPIs
- Python for analysis or automation
Please note the employer is unable to offer any sponsorship.
Data Analyst in West Bromwich employer: Method-Resourcing
Join a dynamic and innovative clean energy organisation that prioritises collaboration and employee growth. As a Data Analyst, you'll not only enhance your analytical skills but also contribute to meaningful projects that drive operational excellence in the energy sector. With a strong focus on data-driven decision-making and a supportive work culture, this role offers you the chance to make a real impact while working alongside passionate professionals in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in West Bromwich
✨Tip Number 1
Network like a pro! Reach out to people in the clean energy and infrastructure sectors. Use LinkedIn to connect with current employees at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those using Power BI and SQL. When you get the chance, share how you've turned complex data into actionable insights – that’s what they want to see!
✨Tip Number 3
Practice your communication skills! Since you'll be working with non-technical stakeholders, make sure you can explain your findings in simple terms. Role-play with a friend or family member to get comfortable with this.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining the team!
We think you need these skills to ace Data Analyst in West Bromwich
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with SQL, Power BI, and any relevant projects that showcase your ability to turn data into actionable insights. We want to see how you can fit into our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your skills align with our mission in the clean energy sector. Let us know how you can help improve operational performance!
Showcase Your Communication Skills:Since this role involves working closely with non-technical stakeholders, make sure to highlight your ability to communicate complex data insights clearly. We love candidates who can bridge the gap between data and decision-making!
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 don’t miss out on any important updates. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Method-Resourcing
✨Know Your Data Tools
Make sure you're well-versed in Power BI and Excel, as these are key to the role. Brush up on your SQL skills too, since you'll need to query and analyse datasets effectively. Being able to demonstrate your proficiency with these tools will show that you're ready to hit the ground running.
✨Understand the Business Context
Familiarise yourself with the clean energy and infrastructure sector. Knowing how data impacts operational performance and decision-making will help you communicate insights more effectively. Research the company’s projects and challenges to show that you’re genuinely interested in their mission.
✨Prepare for Collaboration Questions
Since this role is highly collaborative, be ready to discuss your experience working with engineering and field teams. Think of examples where you've turned complex data into actionable insights for non-technical stakeholders. This will highlight your ability to bridge the gap between data and business needs.
✨Showcase Your Attention to Detail
In a data analyst role, accuracy is crucial. Be prepared to talk about how you ensure data quality and maintain reporting processes. Share specific instances where your attention to detail made a significant impact on a project or report, demonstrating that you take data integrity seriously.
