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
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 - Cambridge
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Grayce!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Graduate Data Analyst - Cambridge at Grayce.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Grayce.
✨Apply Directly through Our Website
When you find a suitable opening like Graduate Data Analyst - Cambridge at Grayce, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Graduate Data Analyst - Cambridge
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Grayce, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Grayce. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Grayce
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Grayce!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
