At a Glance
- Tasks: Join a 10-week training programme to become a skilled Data Analyst with real-world experience.
- Company: iO-Sphere, a forward-thinking company transforming data hiring.
- Benefits: Fully-funded training, portfolio development, and intensive career support.
- Other info: Diverse candidates encouraged to apply; excellent career growth opportunities await.
- Why this job: Showcase your skills and get hired directly by top employers in data.
- Qualifications: Analytical mindset, strong English skills, and commitment to full-time training.
The predicted salary is between 25000 - 32000 £ per year.
A smarter way to get hired as a Data Technician. Most entry-level data jobs want experience you can't get without a job. We've built a different route in. iO-Sphere works with employer partners to hire data analysts—but instead of filtering CVs, we select candidates through a 10-week fully-funded training programme where you prove what you can do with real data. Our partners then hire the best directly from the cohort. The whole thing is funded by Enterprise Oxford. Free for you. No fees for employers. Just a better way to match talent with opportunity.
How it works:
- Apply – Quick eligibility check and screening calls
- Join the cohort – 10 weeks working in PRISM, our simulated company with 500m+ rows of real data
- Build your portfolio – Develop skills in Excel, AI, Power BI, and data storytelling through real projects
- Interview with partners – Employers hire the best directly from our candidate pool
- Get placed – If not hired by one of our partners, you get 6 months of intensive career support until you land a role
Over 800 people we've trained are now working at companies like Beyond: Ocado, Xander Talent, and Metametrics.
What you get:
- 10-weeks of fully-funded training to build the real experience needed to land a job in data
- A portfolio of real work to show in interviews
- Skills that actually get tested in hiring processes
- The best get the opportunity to interview with our partners
- If not hired by a partner, then you will receive intensive career coaching and support to secure your own role
The details:
- Start date: July 6, 2026
- Duration: 10 weeks, full-time (Mon‑Fri, 9am-5pm)
- Cost: Fully funded for residents of Oxfordshire —no cost to you
- Cohort size: 37 candidates
Requirements:
- Live in Greater Oxford
- Right to work in the UK (no visa sponsorship)
- Can commit full-time for 10 weeks starting July 6th
- Analytical and numerate—comfortable working with numbers
- Strong written and spoken English
This is for you if:
- You're actively job hunting for data roles
- You keep hitting 'experience required' on entry-level jobs
- You'd rather show what you can do than optimise your CV
- You're a career changer, recent graduate, or someone ready for a new direction
This isn't for you if:
- You can't commit full-time for 10 weeks
- You're looking for remote‑only or part‑time
- You already have significant analytics experience
Funded by Enterprise Oxfordshire through the Skills Bootcamps programme. We strongly encourage applications from women, people of colour, LGBTQ+ individuals, veterans, parents, and people with disabilities. Reasonable adjustments available throughout the process.
Junior Data Analyst in Oxford employer: IO Sphere
iO-Sphere is an exceptional employer that prioritises your growth and success in the data field. With a fully-funded 10-week training programme, you will gain hands-on experience and develop a robust portfolio, all while being supported by a collaborative work culture that values diversity and inclusion. Our commitment to your career development ensures that even if you're not hired directly by our partners, you'll receive intensive coaching to help you secure a role in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Analyst in Oxford
✨Get in on the Data Science Meetups
Data science is all about community! Join local meetups or workshops related to data science and analytics. It's a fab way to network with industry professionals, learn about the latest trends, and maybe even snag a lead on an upcoming opportunity at companies like IO Sphere.
✨Show Off Your Projects
As a trainee, showcasing your skills is key. Start a GitHub repository with your projects or analytics problems you've solved. Share them on platforms like Kaggle, and make sure to link them on your LinkedIn. Potential employers, including IO Sphere, love seeing hands-on experience!
✨Connect with Alumni
Tap into your university's alumni network! Reach out to past graduates who are working in data science roles and see if they'd be willing to chat. They often have great insights into internship openings and can even refer you internally, increasing your chances with companies like IO Sphere.
✨Find Internships through Portals and Workshops
Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including IO Sphere, often scout for trainee talent at these events. Plus, applying directly through job portals and company websites can give you an edge!
We think you need these skills to ace Junior Data Analyst in Oxford
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!
Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so IO Sphere can see your code and your thought process. Practical experience, even if it's academic, can set you apart!
Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at IO Sphere and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.
Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!
How to prepare for a job interview at IO Sphere
✨Show Off Your Data Skills
Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.
✨Prepare for Practical Assessments
Don't be surprised if you're given a case study or data set to analyse during the interview. We should be prepared to demonstrate how we interpret and present data findings — it's a chance to show off our analytical thinking in real time!
✨Highlight Your Passion for Learning
As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells IO Sphere that we’re eager to grow and develop our skills in this exciting field.
✨Ask Insightful Questions
Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into IO Sphere’s culture and workflow.
