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For Companies At a Glance
- Tasks: Create stunning Power BI dashboards and extract data using SQL for impactful insights.
- Company: Leading charge point provider focused on electric vehicle solutions.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a difference in the EV charging landscape.
- Qualifications: 2+ years of experience in data analysis and strong SQL/Power BI skills.
- Other info: Collaborative environment with a focus on data-driven decision-making.
The predicted salary is between 28800 - 48000 £ per year.
A leading charge point provider is seeking a Data Analyst to deliver exceptional reporting and insights. This role involves designing Power BI dashboards, writing SQL for data extraction, and collaborating with teams to support data-driven decision-making.
Ideal candidates will have:
- Over 2 years of experience
- A degree in a quantitative field
- Strong skills in SQL and Power BI
Join a dynamic team and contribute to providing accessible electric vehicle charging solutions.
Data Analyst • Power BI Dashboards & SQL (Remote 2 Days/Week) employer: Char.gy Limited
Contact Detail:
Char.gy Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst • Power BI Dashboards & SQL (Remote 2 Days/Week)
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the industry on LinkedIn. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards and SQL projects. This visual evidence of your expertise can really make you stand out during interviews.
✨Tip Number 3
Prepare for those interviews! Research common data analyst interview questions and practice your answers. We recommend focusing on how you've used data to drive decisions in past roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analyst • Power BI Dashboards & SQL (Remote 2 Days/Week)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Power BI. We want to see how you've used these skills in previous roles, so don’t hold back on the details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data analysis and how you can contribute to our mission of providing accessible electric vehicle charging solutions.
Showcase Your Projects: If you've worked on any relevant projects, especially involving dashboards or data extraction, make sure to mention them. We love seeing real examples of your work!
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 Char.gy Limited
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with writing complex queries and how you've used SQL for data extraction in past projects. Practising some common SQL problems can really help you feel confident.
✨Show Off Your Power BI Skills
Since this role heavily involves Power BI, be ready to showcase your dashboard design skills. Bring examples of dashboards you've created, and be prepared to explain your design choices and how they helped drive decisions. Visual storytelling is key!
✨Understand the Company’s Mission
Research the charge point provider and understand their mission in providing accessible electric vehicle charging solutions. This will not only help you tailor your answers but also show your genuine interest in the company and its goals during the interview.
✨Prepare for Team Collaboration Questions
As collaboration is a big part of this role, think about times you've worked with cross-functional teams. Prepare specific examples that highlight your communication skills and how you’ve contributed to data-driven decision-making in those situations.
