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- Tasks: Transform complex data into insights and create engaging visualisations.
- Company: Prominent UK firm with a strong focus on graduate development.
- Benefits: Competitive starting salary of £25,000 and excellent career progression.
- Why this job: Kickstart your data career in a supportive environment with real impact.
- Qualifications: Minimum 2:1 degree and familiarity with data tools like Excel, R, SQL, or Python.
- Other info: Join a fast-track programme and collaborate with diverse stakeholders.
The predicted salary is between 24000 - 30000 £ per year.
A prominent UK firm is seeking a Graduate Data Analyst to join their Graduate Development Programme in Manchester. The role involves transforming complex data into insights, creating visualizations, and collaborating with various stakeholders.
Candidates should possess a minimum of a 2:1 undergraduate degree and familiarity with data tools such as Excel, R, SQL, or Python.
The opportunity offers a competitive starting salary of £25,000 and significant career progression within a supportive environment.
Graduate Data Analyst – Onsite, Fast-Track Data Career in Manchester employer: Grayce
Contact Detail:
Grayce Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Analyst – Onsite, Fast-Track Data Career in Manchester
✨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 into the company culture.
✨Tip Number 2
Prepare for those interviews! Brush up on your data tools like Excel, R, SQL, or Python. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 3
Showcase your skills! Create a portfolio of projects that highlight your ability to transform data into insights. This will make you stand out and demonstrate your practical experience.
✨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 – Onsite, Fast-Track Data Career in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Graduate Data Analyst role. Highlight your familiarity with data tools like Excel, R, SQL, or Python, and any relevant projects you've worked on.
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. Be sure to mention your academic achievements and any relevant experience.
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them! Include examples of how you've transformed complex data into insights or created visualisations in past projects or coursework.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of success. It’s the easiest way for us to see your application and get you on the fast track to a rewarding data career!
How to prepare for a job interview at Grayce
✨Know Your Data Tools
Make sure you brush up on your skills with Excel, R, SQL, and Python. Be ready to discuss how you've used these tools in your studies or any projects. It’s a great way to show your practical knowledge and enthusiasm for data analysis.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific data challenges or stakeholder interactions. Think of examples from your coursework or internships where you transformed data into insights. This will demonstrate your problem-solving skills and ability to collaborate.
✨Visualisation is Key
Since the role involves creating visualisations, be prepared to talk about your experience with this. Bring examples of your work if possible, and explain your thought process behind the visualisations. This shows you can communicate complex data effectively.
✨Show Your Passion for Data
Let your enthusiasm for data shine through! Talk about why you chose this career path and what excites you about working with data. A genuine interest can set you apart from other candidates and make a lasting impression.
