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 located in the vibrant Northern Quarter of Manchester, offering a dynamic work culture that champions emerging talent and prioritises employee growth. With a strong focus on innovation and continuous improvement, employees benefit from a supportive environment that encourages autonomy and the opportunity to influence HR operations while enjoying generous benefits such as 25 days annual leave and a comprehensive Employee Assistance Programme.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Analyst - London (Hiring Immediately) in Basildon, Essex
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Grayce.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at Grayce and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace Graduate Data Analyst - London (Hiring Immediately) in Basildon, Essex
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Grayce aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at Grayce
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Grayce.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Grayce.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Grayce, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at Grayce will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.
