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- Tasks: Create impactful Power BI dashboards and analyse data to drive business decisions.
- Company: Leading UK retail company with a focus on innovation and teamwork.
- Benefits: Competitive salary, pension scheme, and exclusive employee discounts.
- Why this job: Join a dynamic team and make a real difference with your data skills.
- Qualifications: Strong SQL skills, experience in data visualisation, and a relevant degree.
The predicted salary is between 30000 - 50000 £ per year.
A leading UK retail company is seeking a Data Analyst to join their team in Plymouth. This permanent, full-time position focuses on supporting data-driven decisions by producing insightful analyses and building dashboards primarily in Power BI.
The ideal candidate will demonstrate strong SQL proficiency, experience with data visualization, and a degree in a business-related field.
Competitive salary, benefits including pension and employee discount are offered.
Data Analyst - Power BI Dashboards & SQL Insights in Plymouth employer: The Range
Contact Detail:
The Range Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Power BI Dashboards & SQL Insights in Plymouth
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards and SQL projects. We recommend having a few examples ready to discuss during interviews to demonstrate your expertise and passion for data analysis.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on common data analysis scenarios and be ready to explain your thought process. We suggest practicing with a friend or using mock interviews to build your confidence.
✨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 proactive about their job search!
We think you need these skills to ace Data Analyst - Power BI Dashboards & SQL Insights in Plymouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL skills and experience with Power BI. We want to see how your background aligns 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 data analysis and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Analytical Skills: In your application, include examples of how you've used data to drive decisions in previous roles. We’re looking for candidates who can turn numbers into insights, so let us know how you’ve done this before!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at The Range
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with SQL queries and how you've used them to extract insights from data. Practising common SQL problems can really help you stand out.
✨Showcase Your Power BI Skills
Since the role focuses on Power BI, it’s crucial to demonstrate your proficiency with this tool. Bring examples of dashboards you've created or analyses you've conducted using Power BI. If possible, prepare a mini-presentation to showcase your work.
✨Understand the Business Context
Research the retail company and understand their business model. Think about how data analysis can drive decisions in retail. This will not only help you answer questions more effectively but also show your genuine interest in the role.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think of situations where you had to analyse data to make recommendations. Prepare to explain your thought process and the impact of your decisions on the business.
