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- Tasks: Design and deliver analytical solutions using Power BI, DAX, SQL, and Python.
- Company: A growing renewable energy company focused on ecological initiatives.
- Benefits: Competitive salary of £35,000, Cycle to Work Scheme, and employee assistance programs.
- Why this job: Join a mission-driven team and make a real impact in renewable energy.
- Qualifications: Experience with Power BI and strong analytical skills.
- Other info: Exciting opportunity for career growth in a collaborative environment.
The predicted salary is between 28000 - 42000 £ per year.
A growing renewable energy company in Stretton seeks a skilled BI Developer to design and deliver analytical solutions. You will transform data into impactful dashboards using tools like Power BI, DAX, SQL, and Python. With a keen focus on data quality and collaboration, this role offers a competitive salary of £35,000 per annum and a range of employee benefits, including a Cycle to Work Scheme and employee assistance programs. This is an exciting opportunity to contribute to a mission-driven team supporting ecological initiatives.
Power BI Developer for Renewable Energy Insights in Stretton employer: Project Better Energy
Contact Detail:
Project Better Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Power BI Developer for Renewable Energy Insights in Stretton
✨Tip Number 1
Network like a pro! Reach out to folks in the renewable energy sector, especially those who work with BI tools. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards and analytical projects. This visual proof of your abilities can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common BI scenarios. Think about how you'd tackle data quality issues or collaborate with teams. We want to see your problem-solving skills in action!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our mission-driven team.
We think you need these skills to ace Power BI Developer for Renewable Energy Insights in Stretton
Some tips for your application 🫡
Show Your Passion for Renewable Energy: When writing your application, let your enthusiasm for renewable energy shine through. We want to see how your skills as a BI Developer can contribute to our mission-driven team and support ecological initiatives.
Highlight Relevant Skills: Make sure to showcase your expertise in Power BI, DAX, SQL, and Python. We’re looking for someone who can transform data into impactful dashboards, so give us examples of your previous work that demonstrate these skills.
Focus on Data Quality: Since data quality is key in this role, mention any experience you have with ensuring data accuracy and integrity. We appreciate candidates who understand the importance of clean data in delivering analytical solutions.
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 about the position!
How to prepare for a job interview at Project Better Energy
✨Know Your Tools Inside Out
Make sure you’re well-versed in Power BI, DAX, SQL, and Python. Brush up on your skills and be ready to discuss how you've used these tools in past projects. Prepare examples that showcase your ability to transform data into impactful dashboards.
✨Understand the Renewable Energy Sector
Familiarise yourself with the renewable energy landscape and the company's mission. Being able to speak knowledgeably about current trends and challenges in the industry will show your genuine interest and commitment to their ecological initiatives.
✨Prepare for Collaboration Questions
Since this role emphasises collaboration, think of examples where you’ve successfully worked in a team. Be ready to discuss how you handle feedback and contribute to group projects, especially in a data-driven environment.
✨Showcase Your Attention to Data Quality
Highlight your understanding of data quality and its importance in BI development. Prepare to discuss methods you use to ensure data accuracy and integrity, as this is crucial for delivering reliable analytical solutions.
