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- Tasks: Analyse data, support AI/ML model development, and explore blockchain applications in finance.
- Company: Join ea Change, a leader in tech transformation with a focus on innovation.
- Benefits: Accredited qualifications, bespoke training, health cash plan, and 26 days annual leave.
- Why this job: Kickstart your career tackling real-world challenges with cutting-edge technologies.
- Qualifications: Technical degree and passion for AI/ML and blockchain; familiarity with data analysis tools.
- Other info: Diverse and inclusive environment with excellent growth opportunities.
The predicted salary is between 24800 - 37200 Ā£ per year.
Graduate Data Analystea 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 Usea Change is a leading firm with over two decades of experience in Business and IT transformation. We nurture tomorrow\ās leaders through our Futures Programme and pride ourselves on a culture of diversity, inclusion, integrity and peopleāfirst 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 dataādriven recommendations.
Work closely with crossāfunctional 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, problemāsolving 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 fastātrack into Business Change.
Bespoke flexible training.
How to ApplyIf 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 š¤«
We think this is how you could land Graduate Data Analyst
āØNetwork 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. We canāt stress enough how valuable these connections can be when it comes to landing that dream job.
āØShow Off Your Skills
Donāt just tell them what you can do; show them! Create a portfolio showcasing your projects, especially those involving data analysis or AI/ML. We love seeing practical applications of your skills, so make sure to highlight any relevant coursework or personal projects.
āØAce the Interview
Prepare for your interviews by practising common questions and scenarios related to data analysis and emerging technologies. We recommend doing mock interviews with friends or mentors to build confidence and refine your answers. Remember, itās all about demonstrating your passion and problem-solving skills!
āØApply Through Our Website
When you find a role that excites you, apply through our website! Itās the best way to ensure your application gets the attention it deserves. Plus, weāre always on the lookout for passionate graduates ready to dive into the world of AI and Blockchain.
We think you need these skills to ace Graduate Data Analyst
Some tips for your application š«”
Tailor Your CV: Make sure your CV reflects your passion for AI, Machine Learning, and Blockchain. Highlight relevant projects or coursework that showcase your skills and interest in these areas.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role. Share specific examples of how your background aligns with the responsibilities of a Graduate Data Analyst and what you can bring to our team.
Showcase Your Technical Skills: Donāt forget to mention any experience with Python, SQL, or data visualisation tools. If you've worked on personal projects or coursework related to data analysis, make sure to include those details!
Apply Through Our Website: We encourage you to apply directly through our website. Itās the best way for us to receive your application and ensures youāre considered for this exciting opportunity!
How to prepare for a job interview at ea Change
āØKnow Your Tech
Brush up on your knowledge of AI, machine learning, and blockchain technologies. Be ready to discuss how these can be applied to real-world problems, especially in finance. Show them youāre not just familiar with the concepts but also passionate about their impact.
āØShowcase Your Skills
Prepare to talk about any relevant projects or coursework you've done, particularly those involving Python, SQL, or data visualisation tools. Bring examples that demonstrate your analytical skills and attention to detail, as these are crucial for a Graduate Data Analyst role.
āØPractice Explaining Complex Ideas
Since you'll need to communicate technical insights to non-technical audiences, practice explaining your past projects or concepts in simple terms. This will show your ability to bridge the gap between tech and business, which is key for this position.
āØAsk Insightful Questions
Prepare thoughtful questions about the companyās use of AI and blockchain in tackling payment fraud. This not only shows your interest but also your understanding of the industry. Itās a great way to engage with your interviewers and leave a lasting impression.
