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- Tasks: Transform data into actionable insights to boost operational efficiency.
- Company: Leading energy company focused on innovation and collaboration.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by supporting senior leadership with data-driven decisions.
- Qualifications: Experience in data analytics and strong communication skills required.
- Other info: Collaborative environment with potential for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A leading energy company is seeking a Data Analyst to transform data into actionable insights that enhance operational efficiency. This hybrid position requires expertise in data-driven performance management and advanced proficiency in Excel and Power BI.
Candidates will support senior leadership by defining key metrics and providing training to enhance data capabilities. A collaborative leadership style and strong communication skills are essential for success in this role.
Experience in data analytics is required, while knowledge of gas distribution is preferred but not essential.
Insight-Driven Data Analyst | Power BI & Reporting in Horley employer: SGN
Contact Detail:
SGN Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insight-Driven Data Analyst | Power BI & Reporting in Horley
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn or through mutual connections. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your Power BI skills. We should be ready to showcase our ability to turn data into actionable insights, as that’s what this role is all about!
✨Tip Number 3
Don’t underestimate the power of questions! During interviews, ask about how the team uses data to drive decisions. This shows our interest and helps us understand if we’re a good fit.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight our data analytics experience and communication skills.
We think you need these skills to ace Insight-Driven Data Analyst | Power BI & Reporting in Horley
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analytics, especially in Power BI and Excel. We want to see how you've transformed data into actionable insights before, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention your collaborative leadership style and how you can support senior leadership with key metrics.
Showcase Your Communication Skills: Since strong communication skills are essential, include examples of how you've effectively communicated complex data insights to non-technical stakeholders. We love seeing how you can bridge that gap!
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!
How to prepare for a job interview at SGN
✨Know Your Data Tools
Make sure you brush up on your Power BI and Excel skills before the interview. Be ready to discuss specific projects where you've used these tools to derive insights. This will show that you can hit the ground running!
✨Understand the Business Context
Familiarise yourself with the energy sector, especially how data analytics can drive operational efficiency. Research the company’s recent projects or initiatives related to data-driven performance management to demonstrate your interest and understanding.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems using data. Practice articulating your thought process clearly, as this will showcase your analytical skills and collaborative approach to problem-solving.
✨Showcase Your Communication Skills
Since strong communication is key in this role, prepare examples of how you've effectively communicated complex data insights to non-technical stakeholders. This will highlight your ability to train others and enhance their data capabilities.
