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- Tasks: Support AI/ML model design and analyse complex datasets to drive innovation.
- Company: Leading financial services client investing in cutting-edge technology.
- Benefits: Fully funded qualifications, health cash plan, 26 days leave, and hybrid working.
- Why this job: Gain hands-on experience with AI and blockchain while making a real impact.
- Qualifications: Undergraduate degree in a technical field and interest in AI/ML and blockchain.
- Other info: Diversity welcomed; excellent career growth and mentoring opportunities.
The predicted salary is between 28800 - 48000 £ per year.
Graduate Data Analyst
ea Change, Greater Bristol Area, United Kingdom
This role offers an attractive base pay range and a dynamic career path in data, business insight and digital transformation.
About Us
ea Change is a leading firm with over two decades of experience in Business and IT transformation. We nurture tomorrow’s leaders through our Futures Programme and pride ourselves on a culture of diversity, inclusion, integrity and people‑first values.
Responsibilities
- Analyse and interpret data to provide actionable business insights.
- Create compelling visualisations using tools such as Power BI, PowerApps and other BI platforms.
- Support business improvement initiatives with data‑driven recommendations.
- Work closely with cross‑functional teams to understand and define business requirements.
- Assist in maintaining and optimising databases using SQL or other data management tools.
- Contribute to project documentation, reporting and stakeholder communications.
Requirements
- Right to work in the United Kingdom.
- Strong analytical, problem‑solving and numerical skills.
- Excellent communication and collaboration abilities.
- Strong attention to detail and a proactive mindset.
- Full driving licence and ability to travel to the office as needed (hybrid working).
- Experience or familiarity with SQL, Power BI, PowerApps, Python, R, Excel, Tableau or similar tools (a plus).
- Fully funded accredited qualifications (see Benefits below).
Benefits
- Hybrid working and commercial exposure.
- 26 days annual leave.
- Health cash plan.
- Regular mentoring and personal development.
- Access to a comprehensive learning portal.
- Opportunities for progression and a robust fast‑track into Business Change.
- Bespoke flexible training.
How to Apply
If you are interested and meet the above criteria, please submit your CV. We will contact shortlisted candidates within 14 days of application. Please note that we are unable to sponsor work visas for international applicants.
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Graduate Data Analyst employer: ea Change
Contact Detail:
ea Change Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Analyst
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even online forums related to AI, machine learning, and blockchain. You never know who might have a lead on a job or can give you insider tips.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving data analysis or AI/ML. Use platforms like GitHub to share your code and visualisations. This gives potential employers a taste of what you can do!
✨Ace the Interview
Prepare for interviews by practising common questions related to data analysis and emerging technologies. Be ready to discuss your thought process when tackling complex datasets and how you’d approach real-world problems.
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying directly through us not only keeps you in the loop but also shows your enthusiasm for joining our community of tech-savvy professionals!
We think you need these skills to ace Graduate Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Graduate Data Analyst role. Highlight any relevant projects or coursework in AI, machine learning, or data analysis to catch our eye!
Show Your Passion: We love seeing genuine enthusiasm for AI and blockchain technologies. In your application, share why these areas excite you and how you’ve engaged with them, whether through studies, personal projects, or even just reading up on the latest trends.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your experiences and skills, especially when discussing technical concepts. Remember, we want to understand your insights without getting lost in jargon!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at ea Change
✨Know Your Tech
Make sure you brush up on AI, machine learning, and blockchain technologies. Be ready to discuss how these can be applied to tackle real-world business challenges, especially in the financial sector. Showing genuine interest and understanding will definitely impress your interviewers.
✨Data Analysis Skills Matter
Familiarise yourself with data analysis techniques and tools like Python, SQL, or Excel. Prepare to talk about any relevant coursework or projects you've done. If you can share specific examples of how you've used these skills to analyse complex datasets, that’ll set you apart!
✨Communication is Key
You’ll need to explain technical insights to non-technical audiences, so practice articulating your thoughts clearly. Think about how you would present your findings from a data analysis project to someone without a technical background. This will show your ability to bridge the gap between tech and business.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s use of emerging technologies and their impact on the industry. This not only shows your enthusiasm but also your critical thinking skills. It’s a great way to demonstrate that you’re genuinely interested in the role and the company’s mission.
