Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform data into insights, create visualisations, and drive business decisions.
- Company: Grayce partners with top companies to develop high-performing talent in the UK.
- Benefits: Enjoy a competitive salary, industry qualifications, mentoring, and wellness support.
- Why this job: Join a community that values curiosity, collaboration, and making an impact.
- Qualifications: Must have a 2:1 in a STEM subject and experience in data analysis.
- Other info: Work on-site in London, full-time, with opportunities for career progression.
The predicted salary is between 28000 - 39200 £ per year.
Grayce is not on the UK Border Agency\’s Sponsor Register and is unable to sponsor work visas for international applicants.
Base pay rangeJob Position: Graduate Data Analyst – via the Graduate Development Programme
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.
Data AnalystKick-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 EngineerLaunch 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 ScientistWorking 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.
OpportunityYou\’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.
DeliveryTypically 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.
MentoringThrive under the guidance of our experienced Delivery Managers and Technical Trainers. They\’ll be your go‐to, offering support, insights and sharing experiences.
ProgressionStarting 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 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.
Soft Skills: From effective communication styles to planning, organisation and a learning development mindset, Grayce is committed to building core consultancy skills. Stakeholder and time management are core skills we utilise every day and we look for examples of those through our interview process.
Why work for us?
Competitive Salary: Starting at £28,000 with potential for significant growth.
Industry Recognition: We help you embark on your journey with fully funded, industry‐recognised qualifications designed to maximise your experience and put you in control of your career.
Mentors and Coaches: Access a network of mentors and coaches dedicated to you, your experiences and development at Grayce.
Wellness Support: We are here for you 24/7 with our Employee Assistance Programme, offering confidential assistance ranging from financial and legal support to health and wellbeing.
Seniority level
Entry level
Employment type
Full-time
Job function
Analyst
Industries
IT Services and IT Consulting
#J-18808-Ljbffr
Graduate Data Analyst - London employer: Grayce
Contact Detail:
Grayce Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Analyst - London
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, such as Excel, R, SQL, and Python. Consider taking online courses or tutorials to enhance your skills in these areas, as practical knowledge will set you apart from other candidates.
✨Tip Number 2
Showcase your analytical problem-solving abilities by preparing examples of how you've successfully tackled complex issues in the past. Be ready to discuss these experiences during interviews, highlighting your thought process and the impact of your solutions.
✨Tip Number 3
Network with current or former employees of Grayce on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, and may even lead to a referral that boosts your application.
✨Tip Number 4
Prepare for potential interview questions by practising your communication skills. Focus on articulating your thoughts clearly and confidently, as effective communication is a key quality they are looking for in a Graduate Digital Analyst.
We think you need these skills to ace Graduate Data Analyst - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your STEM degree and any relevant experience in data analysis. Use specific examples to demonstrate your analytical skills and familiarity with tools like Excel, R, SQL, or Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your curiosity, adaptability, and problem-solving abilities. Mention how your skills align with Grayce's values and the role of a Graduate Digital Analyst.
Highlight Relevant Experience: If you have experience analysing data, whether through internships, projects, or coursework, be sure to detail this in your application. Discuss any specific tools or methodologies you used.
Showcase Soft Skills: Grayce values communication and stakeholder management. Include examples in your application that demonstrate your ability to work collaboratively and effectively communicate insights derived from data.
How to prepare for a job interview at Grayce
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've analysed data in the past. Be ready to explain your thought process, the tools you used, and the impact your analysis had on decision-making.
✨Demonstrate Your Technical Proficiency
Familiarise yourself with the key data tools mentioned in the job description, such as Excel, SQL, or Python. If you have experience with Tableau or Power BI, be sure to highlight that as well.
✨Communicate Effectively
Practice articulating your ideas clearly and concisely. Remember, strong communication skills are essential for this role, so be prepared to explain complex concepts in a way that's easy to understand.
✨Emphasise Your Curiosity and Adaptability
Be ready to share examples of how you've approached problem-solving in a curious and adaptable manner. Highlight any experiences where you've had to learn quickly or adjust to new challenges.
