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- Tasks: Join our Data Analyst Experience Accelerator to learn and apply data analysis skills in real projects.
- Company: iO-Sphere is dedicated to training the next generation of data analysts for leading organisations.
- Benefits: Enjoy a fully remote, flexible programme with ongoing mentoring and support throughout your career.
- Why this job: Gain hands-on experience with real data while building a network in the data analytics community.
- Qualifications: Ideal candidates are analytical thinkers, curious problem solvers, and committed to full-time learning.
- Other info: We encourage diverse applicants and provide equal opportunities for all backgrounds.
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. 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.
Data Analyst (Entry Level) employer: Reed- UNLIMITED
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, like Excel, SQL, Power BI, and Python. Consider taking online courses or tutorials to boost your confidence and demonstrate your commitment to learning these skills.
✨Tip Number 2
Engage with the data analytics community on platforms like LinkedIn or relevant forums. Networking can help you gain insights into the industry and may even lead to referrals for positions at leading organisations.
✨Tip Number 3
Prepare to discuss real-world applications of data analysis during interviews. Think of examples where you've used data to solve problems or make decisions, even if they are from academic projects or personal experiences.
✨Tip Number 4
Show your enthusiasm for the role and the company during the application process. Research iO-Sphere and its partner organisations to understand their values and goals, and be ready to express how you align with them.
We think you need these skills to ace Data Analyst (Entry Level)
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Data Analyst position. Understand the skills required, such as Excel, SQL, Power BI, and Python, and think about how your experiences align with these requirements.
Tailor Your CV: Customise your CV to highlight relevant skills and experiences that match the job description. Emphasise any analytical projects or coursework that demonstrate your ability to work with data and solve problems.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the programme. Mention specific reasons why you want to join iO-Sphere and how the Data Analyst Experience Accelerator 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.
How to prepare for a job interview at Reed- UNLIMITED
✨Know Your Tools
Familiarise yourself with the technical tools mentioned in the job description, such as Excel, SQL, Power BI, and Python. Be prepared to discuss how you've used these tools in past projects or how you plan to apply them in your role.
✨Showcase Your Analytical Skills
Prepare examples of how you've identified trends or patterns in data sets. Think of specific instances where your analytical thinking led to actionable insights or solutions to problems.
✨Demonstrate Curiosity
Employers are looking for candidates who are curious problem solvers. Be ready to discuss how you approach complex problems and what steps you take to find solutions. Show your enthusiasm for learning and growing in the field of data analysis.
✨Ask Insightful Questions
Prepare thoughtful questions about the company, the team, and the projects you'll be working on. This shows your interest in the role and helps you determine if the company is the right fit for you.
