At a Glance
- Tasks: Transform complex data into actionable insights and create dynamic visualisations.
- Company: Join Grayce, a leader in driving change for ambitious organisations.
- Benefits: Competitive salary starting at £28,000, wellness support, and industry-recognised qualifications.
- Other info: Fast-track your career with significant growth opportunities and a supportive community.
- Why this job: Launch your career with hands-on experience and mentoring from industry experts.
- Qualifications: Minimum 2:1 in a STEM subject and experience with data analysis tools.
The predicted salary is between 24000 - 42000 £ per year.
Locations: Cambridge
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 un‑sponsored for the duration of the programme.
- Ability to work on site up to 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 Data Analyst:
- Data Analyst: Transform complex data into actionable insights, create dynamic visualisations and drive business decisions. Work with cutting‑edge tools, collaborate with stakeholders, and develop automated reports and dashboards.
- Data Engineer: Design and maintain data pipelines, integrate multiple data sources, and ensure data quality in a cloud‑based environment. Write clean, testable code, automate data transformation processes, and collaborate with teams.
- Data Scientist: Support quantitative research and management teams by delivering high‑quality data models and exploratory analysis. Leverage analytical skills to extract insights from complex datasets.
Why Grayce? We specialise in driving change and transformation for some of the world’s most ambitious organisations. 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 FTSE 100, 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 a STEM field.
- Data Tools: Previous experience with tools such as Excel, R, SQL or Python are an essential requirement for this role.
- Analytical Problem Solving: We’re looking for analytical minds that can spot patterns and think creatively.
- Soft Skills: From effective communication styles to planning, organisation and a learning‑development mindset.
Why work for us?
- Competitive Salary: Starting at £28,000 with potential for significant growth.
- Industry Recognition: Fully funded, industry‑recognised qualifications designed to maximise your experience.
- Mentors and Coaches: Access a network of mentors and coaches dedicated to you.
- Wellness Support: Employee Assistance Programme offering confidential assistance.
Graduate Data Analyst - Cambridge employer: Grayce
At Grayce, we pride ourselves on being an exceptional employer that fosters a collaborative and supportive work culture in the vibrant city of Cambridge. Our Graduate Development Programme offers ambitious graduates the chance to gain hands-on experience with prestigious clients while receiving expert mentoring and industry-recognised qualifications, ensuring continuous personal and professional growth. With a competitive starting salary and a commitment to employee wellness, Grayce is dedicated to empowering our team members to thrive and make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Analyst - Cambridge
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend events, join online forums, or even reach out to alumni from your university. Building relationships can open doors that you didn’t even know existed.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data analysis. We recommend doing mock interviews with friends or mentors. The more comfortable you are, the better you'll perform when it counts!
✨Tip Number 3
Showcase your skills through projects! Create a portfolio of your work, whether it's data visualisations, analyses, or coding projects. This gives you something tangible to discuss during interviews and demonstrates your hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us. Let’s get you started on your journey at Grayce!
We think you need these skills to ace Graduate Data Analyst - Cambridge
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 show us how your background aligns with what we're looking for. It’ll make a big difference!
Tell Your Story:We love a good story! When you describe your experiences, focus on how you’ve tackled challenges and made an impact. This is your chance to showcase your problem-solving skills and adaptability.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it shows you’re keen on joining our community at Grayce!
How to prepare for a job interview at Grayce
✨Know Your Data Tools
Make sure you brush up on your skills with tools like Excel, R, SQL, and Python. Be ready to discuss any projects where you've used these tools, especially if you've created visualisations with Tableau or Power BI. This shows you're not just familiar with the tools but can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your analytical thinking and creativity in problem-solving. Think of situations where you spotted trends or patterns in data and how you approached those challenges. This will demonstrate your ability to think critically, which is key for a Data Analyst role.
✨Communicate Effectively
Practice explaining complex data insights in simple terms. You might be asked to present your findings or explain your thought process, so being able to communicate clearly and effectively is crucial. Use examples from your past experiences to illustrate your communication style.
✨Demonstrate Curiosity and Adaptability
Be prepared to discuss how you've shown curiosity in your previous roles or studies. Employers love candidates who are eager to learn and adapt. Share instances where you took the initiative to explore new data sets or tools, and how that led to valuable insights or improvements.
