At a Glance
- Tasks: Join a 10-week training programme to become a skilled Data Technician.
- Company: iO-Sphere partners with top employers to hire data analysts.
- Benefits: Fully-funded training, real project experience, and career support.
- Other info: Open to diverse applicants; excellent career growth opportunities await!
- Why this job: Showcase your skills with real data and get hired directly by employers.
- 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. 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 employer: IO Sphere
iO-Sphere is an exceptional employer that prioritises your growth and success as a Data Technician. With a fully-funded 10-week training programme, you will gain hands-on experience and develop a robust portfolio while working with real data, all within a supportive and inclusive environment. Our commitment to diversity and intensive career support ensures that every candidate has the opportunity to thrive in their data career, making us a standout choice for aspiring data professionals in Greater Oxford.
StudySmarter Expert Advice🤫
We think this is how you could land Data Technician
✨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 you’ll build a portfolio that speaks volumes in interviews. Plus, it’s fully funded, so there’s no cost to you!
✨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 what employers are looking for.
✨Tip Number 3
Showcase your skills! Use the projects you complete during the programme to create a standout portfolio. This is your chance to demonstrate your abilities in Excel, AI, and data storytelling—make sure to highlight these in your interviews!
✨Tip Number 4
Don’t forget about the interview prep! Once you finish the training, you’ll have the opportunity to interview with our employer partners. Take advantage of the intensive career support we offer if you don’t get hired right away—this can make all the difference!
We think you need these skills to ace Data Technician
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 what makes you unique.
Tailor Your Application:Make sure to customise your application for this specific role. Highlight any relevant skills or experiences that align with the Data Technician position, especially those related to working with numbers and data analysis.
Showcase Your Skills:Use your written application to demonstrate your analytical abilities. Mention any tools or software you’re familiar with, like Excel or Power BI, and how you've used them in the past, even if it’s just in a project or coursework.
Apply Through Our Website:We highly recommend applying directly through our website. It’s the quickest way to get your application in front of us, 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’re familiar with the data tools and concepts you’ve learned during the training. Brush up on Excel, AI, Power BI, and data storytelling. Being able to discuss your hands-on experience with real data will impress potential employers.
✨Showcase Your Portfolio
Bring along your portfolio of work from the 10-week programme. Highlight specific projects that demonstrate your skills and how you tackled real-world data challenges. This tangible evidence of your abilities can set you apart from other candidates.
✨Practice Common Interview Questions
Prepare for typical interview questions related to data analysis and problem-solving. Think about how you would explain your thought process when working with data. Practising these responses will help you feel more confident during the interview.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s data projects or the team dynamics. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
