Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Deliver real projects and develop key data skills in a supportive team environment.
- Company: Join iO-Sphere, a leader in data training with a strong track record of graduate success.
- Benefits: Paid fellowship, mentorship, networking events, and ongoing support after placement.
- Why this job: Kickstart your data career with hands-on experience and connections to top UK companies.
- Qualifications: Must be collaborative, analytical, and eager to learn; full-time commitment required.
- Other info: Diverse and inclusive environment welcoming applicants from all backgrounds.
The predicted salary is between 24000 - 36000 £ per year.
Overview
iO-Sphere\’s Data Analyst Fellowship is a 10-week paid training programme designed to land you a job as a data analyst. The Experience Accelerator helps you secure your first data role with top UK companies. To date, over 150 graduates are working in companies such as Uber, Bumble, British Airways, Love Holidays, Dunelm, and Capgemini.
Responsibilities
- Deliver real projects using our data warehouse (500+ million rows) as part of a simulated data team at Prism.
- Develop technical skills in Excel, SQL, Power BI, and Python, plus professional and business skills for a career in data.
- Collaborate with a cohort and mentors to complete projects and prepare for a data-analyst role.
- Contribute to the team by being collaborative, numerate, analytical, curious, and eager to learn.
- Commit to full-time participation for 10 weeks.
Qualifications
- Ability to commit to full-time for 10 weeks.
- Fluent in written and spoken English.
- Right to work in the United Kingdom.
- Collaborative, numerate, analytical thinkers; curious problem solvers; humble and willing to learn.
What to expect / Programme structure
- The initial 10-week training is full-time; the first 5 weeks are remote and the final 5 weeks are in-person on Mondays, Thursdays, and Fridays.
- Ongoing mentorship and support after landing a role, including networking events, 1:1 mentorship, further training, and socials.
Diversity & Equal Opportunity
We strongly encourage applications from women, people of color, LGBTQ+ individuals, veterans, parents, and individuals with disabilities. We are committed to equal opportunities and welcome individuals from all backgrounds. If you require reasonable adjustments at any stage of the application or interview process, please inform us.
Job details
- Seniority level: Entry level
- Employment type: Full-time
- Job function: General Business, Analyst, and Training
- Industries: Professional Training and Coaching and Data Infrastructure and Analytics
#J-18808-Ljbffr
Data Analyst Fellowship employer: IO Sphere
Contact Detail:
IO Sphere Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Fellowship
✨Tip Number 1
Network like a pro! Reach out to alumni from the fellowship or professionals in the industry on LinkedIn. A simple message can open doors, so don’t be shy about asking for advice or insights.
✨Tip Number 2
Practice your interview skills! Mock interviews with friends or mentors can help you feel more confident. Focus on articulating your projects and how your skills align with what companies are looking for.
✨Tip Number 3
Showcase your work! Create a portfolio of your projects during the fellowship. This is a great way to demonstrate your skills in Excel, SQL, Power BI, and Python to potential employers.
✨Tip Number 4
Apply through our website! We’ve got loads of resources and job listings tailored for you. Plus, it’s a great way to stay updated on new opportunities that match your skills.
We think you need these skills to ace Data Analyst Fellowship
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst Fellowship. Highlight any relevant skills like Excel, SQL, or Python, and showcase your analytical thinking. We want to see how you fit into our world!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and why you’re excited about this fellowship. Let us know how your curiosity and eagerness to learn make you a great fit for the team.
Showcase Your Projects: If you've worked on any data-related projects, don’t hold back! Include them in your application to demonstrate your hands-on experience. We love seeing what you can do with data!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at IO Sphere
✨Know Your Data Tools
Familiarise yourself with Excel, SQL, Power BI, and Python before the interview. Be ready to discuss how you've used these tools in past projects or coursework. Showing that you can hit the ground running will impress your interviewers.
✨Show Your Curiosity
Demonstrate your analytical thinking by asking insightful questions about the role and the company. This shows that you're not just interested in the job, but also in how you can contribute to their data projects and learn from the experience.
✨Emphasise Collaboration
Since this role involves working closely with a cohort and mentors, highlight any team projects you've been part of. Share specific examples of how you contributed to team success and what you learned from collaborating with others.
✨Be Ready to Learn
Express your eagerness to learn and grow in the field of data analysis. Mention any relevant courses or self-study you've undertaken, and be prepared to discuss how you plan to continue developing your skills during the fellowship.
