At a Glance
- Tasks: Transform complex data into actionable insights and create dynamic visualisations.
- Company: Join Grayce, a leader in driving change for top organisations.
- Benefits: Starting salary of £28,000, hands-on experience, and industry-accredited qualifications.
- Other info: Work on-site in London, collaborating with prestigious FTSE100 and 250 clients.
- Why this job: Launch your career with expert coaching and significant salary progression opportunities.
- Qualifications: Minimum 2:1 in a STEM subject and experience with data analysis tools.
The predicted salary is between 24000 - 32000 £ per year.
Locations: London
Starting Salary: £28,000
Application Requirements:
- Minimum 2:1 or above in a STEM (Science, Technology, Engineering, and Math) subject
- Experience in analysing data.
- Right to work in the UK unsponsored for the duration of the programme.
- Ability to work on site 5 days a week.
Are you a curious, adaptable, and proactive problem solver with strong communication skills and a drive to make an impact? At Grayce, we’re looking for ambitious graduates who are eager to learn, take ownership and build meaningful relationships while delivering excellence. If you have a keen attention to detail and accuracy, a knack for spotting trends and patterns and the ability to tell a compelling story using data, you’ll thrive in our environment. We value resourcefulness, resilience, and a passion for driving change. Join us and be part of a community that cares, collaborates, and thrives together.
Understanding the types of roles available to a Graduate Digital Analyst:
- Data Analyst: Kick-start your career as a Data Analyst, where you’ll transform complex data into actionable insights, create dynamic visualisations and drive business decisions. You’ll work with cutting-edge tools, collaborate with stakeholders, and develop automated reports and dashboards, all while refining your technical expertise and problem-solving skills in a fast-paced environment.
- Data Engineer: Launch your career as a Data Engineer, where you’ll design and maintain data pipelines, integrate multiple data sources, and ensure data quality in a cloud-based environment. You’ll write clean, testable code, automate data transformation processes, and collaborate with teams to build scalable, high-quality data solutions that drive business insights.
- Data Scientist: Working as a Data Science Analyst, you'll support quantitative research and management teams by delivering high-quality data models and exploratory analysis. You'll leverage your analytical skills to extract insights from complex datasets, build robust data pipelines, and collaborate across teams to drive data-driven initiatives that enhance data ecosystems.
Why Grayce? We specialise in driving change and transformation for some of the world’s most ambitious organisations and for over a decade, we've partnered with FTSE 100 and 250 companies to deliver impactful results by developing and deploying high-performing talent in the UK and beyond.
Our accelerated development programme is designed to launch the careers of recent graduates eager to make an impact. We offer a fast-track route to expertise, allowing you to gain hands-on experience with one of our impressive clients in a variety of flexible roles.
Opportunity: You'll embark on a journey of continuous learning, gaining industry-accredited qualifications, whilst getting hands-on experience, working full time on site directly with prestigious FTSE100, 250, and 500 organisations.
Delivery: Typically will work for one client, delivering high quality outcomes during your Grayce tenure. The skills required for exceptional client delivery include natural curiosity, proactivity, adaptability, effective communication and problem solving.
Mentoring: Expert coaching throughout your Grayce journey.
Progression: Starting as an Analyst with the potential for significant salary progression, you will pick up invaluable skills and complete a minimum of 6 industry recognised accreditations during your time on the development programme.
What makes a great Grayce Analyst:
- 2:1 Undergraduate Degree: An undergraduate degree with a minimum 2:1 within in a STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage.
- Data Tools: Previous experience with tools such as Excel, R, SQL or Python are essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear from you.
- Analytical Problem Solving: We're looking for analytical minds that can spot patterns and think creatively. Whether it’s dissecting complex issues or finding fresh angles, we highly value critical thinking skills and their application.
Locations
Graduate Data Analyst - London (Hiring Immediately) in Basildon, Essex employer: Grayce
Grayce is an exceptional employer that prioritises the growth and development of its employees, offering a Graduate Development Programme designed to fast-track your career in data analysis. Located in London, you will gain hands-on experience with prestigious FTSE 100 and 250 clients while receiving expert mentoring and industry-recognised qualifications. Our collaborative work culture fosters curiosity and resilience, ensuring that you thrive in a dynamic environment where your contributions make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Analyst - London (Hiring Immediately) in Basildon, Essex
✨Tip Number 1
Network like a pro! Reach out to alumni from your university or connect with professionals on LinkedIn. A friendly chat can lead to insider info about job openings and even referrals, which can give you a leg up in the application process.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data analysis. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you showcase your problem-solving skills and adaptability effectively.
✨Tip Number 3
Showcase your skills through personal projects or case studies. Create a portfolio that highlights your analytical abilities and the tools you've used, like Excel or Python. This not only demonstrates your expertise but also your passion for data analysis.
✨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 and take the initiative to engage directly with us.
We think you need these skills to ace Graduate Data Analyst - London (Hiring Immediately) in Basildon, Essex
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your analytical skills and any experience you have with data tools like Excel, R, SQL, or Python. We want to see how you've used these skills in real-life situations, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for the Graduate Data Analyst role. Use keywords from the job description and relate your experiences to what we’re looking for. This shows us you’re genuinely interested and have done your homework!
Be Yourself:We love authenticity! Let your personality shine through in your application. Share your passion for data and problem-solving, and don’t be afraid to show us what makes you unique. We’re looking for curious and adaptable individuals!
Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Grayce
✨Know Your Data Tools
Make sure you brush up on your knowledge of data tools like Excel, R, SQL, and Python. Be ready to discuss any projects where you've used these tools, as well as how they helped you analyse data effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your analytical problem-solving abilities. Think of situations where you spotted trends or solved complex issues using data, and be ready to explain your thought process.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining your data findings in a clear and compelling way, as if you were presenting to stakeholders who may not have a technical background.
✨Demonstrate Curiosity and Adaptability
Be prepared to discuss how you've shown curiosity and adaptability in past experiences. Employers love candidates who are eager to learn and can adjust to new challenges, so share specific examples that illustrate these traits.
