At a Glance
- Tasks: Join a 10-week training programme to become a skilled Data Technician.
- Company: iO-Sphere, connecting talent with top employers through innovative training.
- Benefits: Fully-funded training, real project experience, and career support.
- Other info: Diverse candidates encouraged to apply; excellent career growth opportunities.
- Why this job: Gain hands-on experience and build a portfolio that impresses employers.
- Qualifications: Analytical mindset, strong English skills, and commitment to full-time training.
The predicted salary is between 20000 - 25000 £ per year.
A smarter way to get hired as a Data Technician. Read all the information about this opportunity carefully, then use the application button below to send your CV and application. 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.
Part time technician 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 while working alongside industry partners. Our inclusive work culture fosters collaboration and innovation, ensuring that every candidate receives the support they need to thrive in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Part time 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, which is exactly what employers are looking for. Plus, you’ll build a portfolio that showcases your skills.
✨Tip Number 2
Network like a pro! Connect with fellow cohort members 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
Showcase your work! Use the projects you complete during the programme to demonstrate your skills in interviews. Real examples of your work can set you apart from other candidates.
✨Tip Number 4
Don’t forget about the career support we offer! If you’re not hired by one of our partners, we’ll provide you with intensive coaching to help you secure a role. Take advantage of this resource!
We think you need these skills to ace Part time technician in Oxford
Some tips for your application 🫡
Read the Job Description Carefully:Before you dive into your application, take a moment to really understand what we're looking for. The job description gives you all the clues you need to tailor your CV and application to match our needs.
Show Off Your Skills:We want to see what you can do! Highlight any relevant skills or experiences in your CV that align with data analysis, even if they’re from different fields. Remember, it’s about proving your potential!
Keep It Clear and Concise:When writing your application, clarity is key. Use straightforward language and avoid jargon. We appreciate a well-structured application that gets straight to the point—no fluff!
Apply Through Our Website:Make sure to hit that application button on our website! It’s the easiest way for us to receive your CV and application, and we can’t wait to see what you bring to the table.
How to prepare for a job interview at IO Sphere
✨Know Your Data
Make sure you brush up on your data skills before the interview. Familiarise yourself with Excel, AI, and Power BI, as these are key tools you'll be using. Be ready to discuss any projects you've worked on during the training programme and how you approached real data challenges.
✨Showcase Your Portfolio
Bring along your portfolio of work from the 10-week training. This is your chance to shine! Highlight specific projects that demonstrate your analytical skills and ability to tell a story with data. Employers love seeing tangible evidence of what you can do.
✨Practice Common Interview Questions
Prepare for typical interview questions related to data roles. Think about how you would explain complex data concepts in simple terms. Practising your responses will help you feel more confident and articulate during the actual interview.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! This shows your interest in the role and the company. Inquire about the types of projects you might work on or how the team collaborates. It’s a great way to demonstrate your enthusiasm and curiosity.
