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- Tasks: Transform and visualise data while collaborating with stakeholders to drive business results.
- Company: Leading development programme provider in Liverpool.
- Benefits: Starting salary of £25,000 with significant growth potential.
- Why this job: Kickstart your data career in a supportive environment with hands-on experience.
- Qualifications: Minimum 2:1 degree and proficiency in Excel, R, SQL, and Python.
- Other info: Great opportunity for graduates looking to make an impact.
The predicted salary is between 24000 - 26000 £ per year.
A leading development programme provider offers a Graduate Data Analyst position in Liverpool, starting at £25,000. Successful candidates will work on data transformation, visualisation, and collaborate with stakeholders to drive business results.
The role requires a minimum 2:1 degree and proficiency in Excel, R, SQL, and Python. This is an excellent opportunity for graduates seeking hands-on experience in a supportive environment with significant growth potential.
Graduate Data Analyst: Launch Your Data Career On Site in Liverpool employer: Grayce
Contact Detail:
Grayce Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Analyst: Launch Your Data Career On Site in Liverpool
✨Tip Number 1
Network like a pro! Reach out to alumni or professionals in the data field on LinkedIn. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially using Excel, R, SQL, and Python. This will not only impress potential employers but also demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions. We recommend doing mock interviews with friends or using online resources to boost your confidence and refine your answers.
✨Tip Number 4
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 Graduate Data Analyst: Launch Your Data Career On Site in Liverpool
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your skills in Excel, R, SQL, and Python. We want to see how your academic achievements and any relevant projects align with the role of a Graduate Data Analyst.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data and how you can contribute to our team. Be sure to mention any experience with data transformation or visualisation.
Showcase Your Projects: If you've worked on any data-related projects, whether in university or on your own, include them! We love seeing practical applications of your skills and how you've tackled real-world problems.
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 from us!
How to prepare for a job interview at Grayce
✨Know Your Data Tools
Make sure you brush up on your skills in Excel, R, SQL, and Python before the interview. Be ready to discuss how you've used these tools in your projects or studies, as this will show your practical knowledge and readiness for the role.
✨Understand Data Transformation
Familiarise yourself with data transformation concepts and be prepared to explain them. You might be asked about your approach to cleaning and preparing data for analysis, so having a clear understanding will help you stand out.
✨Showcase Your Visualisation Skills
Prepare to discuss any data visualisation projects you've worked on. Bring examples if possible, and be ready to explain your thought process behind choosing specific visualisation techniques to convey insights effectively.
✨Engage with Stakeholders
Since collaboration is key in this role, think of examples where you've worked with others to achieve a common goal. Be ready to talk about how you communicate complex data findings to non-technical stakeholders, as this will demonstrate your ability to drive business results.
