Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our Data Analyst Experience Accelerator to gain hands-on experience in data analysis.
- Company: iO-Sphere is dedicated to training the next generation of data professionals.
- Benefits: Enjoy a fully remote programme with ongoing mentoring and support throughout your career.
- Why this job: Build real-world skills while working on exciting projects with a fictional e-commerce company.
- Qualifications: Ideal candidates are analytical thinkers, curious problem solvers, and committed to learning.
- Other info: We encourage applications from diverse backgrounds and offer equal opportunities for all.
The predicted salary is between 28800 - 48000 £ per year.
Are you looking to kickstart your career in data? Join iO-Sphere's Data Analyst Experience Accelerator to land a job as a data analyst at a leading organisation!
Why choose iO-Sphere? We run a unique training programme - the Data Analyst Experience Accelerator - that is designed to secure individuals their next career step and become a data analyst. Instead of a traditional classroom, you’ll be part of the new data team at our fictional e-commerce company, "Prism." From day one, you will build the experience that leading employers require while learning the technical (Excel, SQL, Power BI, Python), professional, and business skills that are needed for a career in data all the while learning how to use Ai to make you a future-ready analyst. You will be delivering real projects using our data warehouse, which has over 500+ million rows of real data.
We work with leading organisations looking to hire data analysts and match them with the best talent we have in our programmes. We recruit our best students on behalf of our partner employers and use our training programmes to identify and up-skill people for their roles.
How does it work?
- We work with our network of employers to understand their data talent needs. They are often looking for data analysts, senior analysts, data scientists, analytics engineers and effective managers.
- We recruit and train talented individuals over the course of 10 weeks to get them ready for the jobs with our employers.
- We match and connect our best students with our employers.
Joining iO-Sphere means becoming part of the community for life. We continue to support our community with ongoing mentoring and training throughout their career.
The roles: We work with many different organisations seeking to hire talented data analysts. The majority of these roles will require you to:
- Identify, analyse, and interpret trends or patterns in complex data sets using technical tools like Excel, SQL, Power BI, and Python.
- Create dashboards, presentations, and recommendations to help solve complex business problems.
- Work with management to prioritise business and information needs.
- Generate strong insights about the business to be able to improve performance.
Ideal candidates:
- Highly numerate & analytical thinker.
- Curious problem solver.
- Humble and willing to learn.
- The ability to commit to full time for 10 weeks.
- Fluent in written and spoken English.
What to expect on the Experience Accelerator:
- The Experience Accelerator is a flexible 10-week programme to give talented data professionals the technical skills and experience to take their career to the next level. By the end, you will be an effective data analyst with the toolkit to land the job you want.
- The first 5 weeks are full-time and fully remote.
- The final 5 weeks are full-time and remote.
We strongly encourage applications from women, people of colour, lesbian, gay, bisexual, transgender, and non-binary individuals, veterans, parents, and individuals with disabilities. We are committed to equal opportunities and welcome individuals from all backgrounds to participate in our program. If you require reasonable adjustments at any stage of the application or interview process, please inform us.
Contact Detail:
Reed- UNLIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Entry Level)
✨Tip Number 1
Familiarise yourself with the tools mentioned in the job description, such as Excel, SQL, Power BI, and Python. Having a basic understanding of these tools will not only boost your confidence but also show your commitment to learning and growing in the field.
✨Tip Number 2
Engage with data-related communities online, such as forums or social media groups. Networking with professionals in the field can provide you with insights into what employers are looking for and may even lead to job opportunities.
✨Tip Number 3
Prepare to discuss real-world applications of data analysis during interviews. Think about how you can apply your skills to solve business problems, as this is a key aspect of the role and will demonstrate your practical understanding of data analysis.
✨Tip Number 4
Show your curiosity and willingness to learn by asking insightful questions during the application process. This will highlight your analytical mindset and eagerness to grow, which are qualities that employers highly value.
We think you need these skills to ace Data Analyst (Entry Level)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Analyst. Familiarise yourself with the tools mentioned in the job description, such as Excel, SQL, Power BI, and Python, as well as the skills required to succeed in this role.
Tailor Your CV: Customise your CV to highlight relevant skills and experiences that align with the Data Analyst position. Emphasise any analytical projects or coursework you've completed, and ensure your technical skills are clearly listed.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your eagerness to learn. Mention specific reasons why you want to join iO-Sphere's programme and how it aligns with your career goals.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in the field of data analysis.
How to prepare for a job interview at Reed- UNLIMITED
✨Showcase Your Analytical Skills
During the interview, be prepared to discuss your analytical thinking process. Use examples from your training or any projects you've worked on to demonstrate how you identify and interpret trends in data.
✨Familiarise Yourself with Technical Tools
Make sure you have a good grasp of the technical tools mentioned in the job description, such as Excel, SQL, Power BI, and Python. Be ready to discuss how you've used these tools in your training or any relevant experience.
✨Prepare Questions for Your Interviewers
Think of insightful questions to ask your interviewers about the role and the company. This shows your genuine interest in the position and helps you understand if it's the right fit for you.
✨Emphasise Your Willingness to Learn
Highlight your curiosity and eagerness to learn throughout the interview. Employers value candidates who are humble and open to feedback, so share examples of how you've embraced learning opportunities in the past.
