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- Tasks: Join a dynamic team to analyse data and contribute to impactful projects.
- Company: Leading consultancy firm in the UK with a focus on development.
- Benefits: Gain valuable experience, develop skills, and work in a collaborative environment.
- Why this job: Kickstart your career with hands-on experience in data and analytics.
- Qualifications: 2:1 undergraduate degree and readiness to work on-site 4 out of 5 days.
- Other info: Accelerated Development Programme offers diverse roles and growth opportunities.
The predicted salary is between 28800 - 48000 £ per year.
A leading consultancy firm in the UK is looking for recent graduates to join their Accelerated Development Programme. Positions include Risk Analyst, Data Analyst, Data Governance Specialist, Software Engineer, and more.
Candidates should have a 2:1 undergraduate degree and be ready to work on-site 4 out of 5 days a week. This is a great opportunity to develop skills in various business areas while contributing to influential projects and gaining valuable experience in a collaborative environment.
Graduate Digital Analyst – Data & Analytics Path in London employer: Grayce
Contact Detail:
Grayce Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Digital Analyst – Data & Analytics Path in London
✨Tip Number 1
Network like a pro! Reach out to alumni or professionals in the consultancy field. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Prepare for those interviews! Research common questions for digital analyst roles and practice your answers. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your skills! Create a portfolio or a personal project that highlights your data analysis abilities. This can be a great conversation starter during interviews and shows your passion for the field.
✨Tip Number 4
Apply through our website! It’s super easy and ensures your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to apply directly!
We think you need these skills to ace Graduate Digital Analyst – Data & Analytics Path in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Graduate Digital Analyst. Highlight relevant skills and experiences that align with data and analytics, and don’t forget to mention your 2:1 degree!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and analytics, and how you can contribute to our team. Keep it concise but impactful.
Showcase Your Projects: If you've worked on any projects related to data analysis or governance, be sure to include them in your application. We love seeing practical examples of your skills in action!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets into the right hands and stands out to us!
How to prepare for a job interview at Grayce
✨Know Your Data
Brush up on your data analysis skills and be ready to discuss relevant tools and techniques. Familiarise yourself with common data analytics concepts, as you might be asked to solve a problem or interpret data during the interview.
✨Show Your Passion for Learning
Since this role is part of an Accelerated Development Programme, demonstrate your eagerness to learn and grow. Share examples of how you've taken initiative in your studies or previous roles to develop new skills or tackle challenges.
✨Understand the Company Culture
Research the consultancy firm’s values and work culture. Be prepared to explain why you want to work there and how you align with their mission. This shows that you’re not just looking for any job, but that you’re genuinely interested in being part of their team.
✨Prepare Thoughtful Questions
At the end of the interview, you’ll likely have the chance to ask questions. Prepare insightful ones that reflect your interest in the role and the company. For example, inquire about the types of projects you might work on or how the team collaborates on data-driven decisions.
