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- 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, flexible programme with ongoing support and mentoring.
- Why this job: Kickstart your career with real projects and skills that employers crave.
- Qualifications: Ideal candidates are analytical thinkers, eager to learn, and fluent in English.
- Other info: We encourage diverse applicants and provide equal opportunities for all.
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'll 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 programs. 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.
Ready to apply? It only takes a minute:
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.
Ready to apply? Step 1: Complete the 1-minute application form. Step 2: Proceed with the remaining steps of the application process. Step 3: Commence your journey with us on April 28th, 2025!
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: IO Sphere
Contact Detail:
IO Sphere Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Entry Level)
✨Tip Number 1
Network with professionals in the data field. Attend webinars, workshops, or local meetups related to data analysis. Engaging with others can provide insights into the industry and may lead to job opportunities.
✨Tip Number 2
Familiarise yourself with the tools mentioned in the job description, such as Excel, SQL, Power BI, and Python. Consider taking online courses or tutorials to enhance your skills and demonstrate your commitment to learning.
✨Tip Number 3
Prepare for potential interviews by practising common data analyst interview questions. Focus on how you would approach problem-solving and data interpretation, as these are key skills employers look for.
✨Tip Number 4
Showcase your curiosity and willingness to learn during any interactions with us. Employers appreciate candidates who are eager to grow and adapt, so be sure to express your enthusiasm for the role and the training programme.
We think you need these skills to ace Data Analyst (Entry Level)
Some tips for your application 🫡
Understand the Role: Before applying, take time to thoroughly read the job description. 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.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention why you are interested in the Data Analyst Experience Accelerator and how it aligns with your career goals.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for spelling and grammatical errors, and ensure that all information is clear and concise to make a strong impression.
How to prepare for a job interview at IO Sphere
✨Showcase Your Analytical Skills
Be prepared to discuss your analytical thinking and problem-solving abilities. Use examples from your training or any relevant projects to demonstrate how you've identified trends or patterns in data sets.
✨Familiarise Yourself with Technical Tools
Make sure you have a good understanding of the technical tools mentioned in the job description, such as Excel, SQL, Power BI, and Python. Be ready to explain how you've used these tools in your training or any previous experience.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions where you might need to analyse a data set or suggest solutions to business problems. Practising these types of questions can help you articulate your thought process clearly during the interview.
✨Demonstrate Your Curiosity and Willingness to Learn
Employers are looking for candidates who are curious and eager to learn. Share instances where you've taken the initiative to learn new skills or explore data-related topics outside of your formal training.
