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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 industry.
- 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 backgrounds.
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 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 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.
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:
IO Sphere 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. Consider taking online courses or tutorials to boost your skills in these areas, as hands-on experience will make you stand out during the selection process.
✨Tip Number 2
Engage with data analysis communities online, such as forums or social media groups. Networking with professionals in the field can provide valuable insights and potentially lead to referrals for job opportunities.
✨Tip Number 3
Prepare to discuss real-world applications of data analysis in your interviews. Think about how you would approach solving business problems using data, and be ready to share examples or case studies that demonstrate your analytical thinking.
✨Tip Number 4
Show your enthusiasm for learning and growth. During interviews or networking events, express your eagerness to develop your skills further and how you plan to stay updated with industry trends, which will resonate well with potential employers.
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 CV reflects your ability to work with data.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the iO-Sphere programme. Mention specific reasons why you want to join their Data Analyst Experience Accelerator and how it aligns with your career goals.
Highlight Your Soft Skills: In your application, don't forget to mention your soft skills, such as problem-solving, curiosity, and willingness to learn. These traits are essential for a successful Data Analyst and will help you stand out from other candidates.
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 grasp of the technical tools mentioned in the job description, such as Excel, SQL, Power BI, and Python. Be ready to talk about your experience with these tools and how you've used them in practical scenarios.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions where you might need to analyse a dataset or solve a business problem on the spot. Practising these types of questions can help you feel more confident during the interview.
✨Express Your Willingness to Learn
Since the role is entry-level, emphasise your eagerness to learn and grow within the field. Share examples of how you've approached learning new skills or concepts in the past, especially in relation to data analysis.
