At a Glance
- Tasks: Join a 10-week training programme to become a skilled Data Technician.
- Company: iO-Sphere, connecting talent with top employers in data.
- Benefits: Fully-funded training, real project experience, and career support.
- Other info: Diverse candidates encouraged to apply; excellent career growth opportunities.
- Why this job: Showcase your skills and land a job without the usual experience barrier.
- Qualifications: Analytical mindset, strong English skills, and commitment to full-time training.
The predicted salary is between 25000 - 30000 £ 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.
Data Technician in Oxford employer: IO Sphere
iO-Sphere is an exceptional employer that offers a unique pathway into the data industry through a fully-funded 10-week training programme, allowing candidates to gain hands-on experience and build a robust portfolio. With a strong focus on inclusivity and support, employees benefit from intensive career coaching and direct hiring opportunities with leading companies in the sector, all while being part of a collaborative and innovative work culture in Greater Oxford.
StudySmarter Expert Advice🤫
We think this is how you could land Data Technician in Oxford
✨Tip Number 1
Get involved in our 10-week training programme! It’s a fantastic way to gain hands-on experience with real data, and it’s fully funded. Plus, you’ll build a portfolio that showcases your skills, which is way more impressive than just a CV.
✨Tip Number 2
Network like a pro! Connect with your cohort mates and industry professionals during the training. You never know who might help you land that dream job or give you insider tips on interviews.
✨Tip Number 3
Show off your skills! During the training, make sure to engage in projects that highlight your strengths. When it comes time for interviews, you’ll have real examples to discuss, making you stand out from the crowd.
✨Tip Number 4
Don’t forget about the career support! If you don’t get hired by one of our partners, we’ve got your back with six months of intensive coaching. Use this time to refine your job search strategy and ace those interviews!
We think you need these skills to ace Data Technician in Oxford
Some tips for your application 🫡
Be Yourself:When you're writing your application, let your personality shine through! We want to see the real you, so don’t be afraid to show your passion for data and why you’re excited about this opportunity.
Tailor Your Application:Make sure to customise your application to highlight how your skills and experiences align with what we’re looking for. Mention specific tools or projects that relate to the training programme and the role of a Data Technician.
Keep It Clear and Concise:We appreciate clarity! Use straightforward language and get to the point. Avoid jargon unless it’s relevant, and make sure your application is easy to read. A well-structured application can really make you stand out.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by us. Plus, you’ll find all the info you need about the programme and what we’re looking for.
How to prepare for a job interview at IO Sphere
✨Know Your Data
Make sure you’re familiar with the data tools and techniques you’ve learned during the training. Be ready to discuss how you used Excel, AI, Power BI, and data storytelling in your projects. This shows you can apply your skills in real-world scenarios.
✨Showcase Your Portfolio
Bring along your portfolio of work from the 10-week programme. Highlight specific projects that demonstrate your analytical skills and problem-solving abilities. This tangible evidence of your capabilities can really impress potential employers.
✨Practice Common Interview Questions
Prepare for typical interview questions related to data analysis, such as how you approach a data problem or how you ensure data accuracy. Practising your responses will help you feel more confident and articulate during the interview.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions about the company and the role. This shows your genuine interest and helps you determine if it’s the right fit for you. Think about what you want to know regarding their data processes or team dynamics.
