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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 fluent in English.
- 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. 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, such as Excel, SQL, Power BI, and Python. Consider taking online courses or tutorials to boost your confidence and skills in these areas before applying.
✨Tip Number 2
Engage with data analysis communities online, such as forums or social media groups. Networking with professionals in the field can provide 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 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 learning and growth. Employers value candidates who are humble and eager to develop their skills, so be ready to express your willingness to learn throughout the application process.
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 why you are interested in becoming a data analyst 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
✨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. You might be asked to explain how you've used these tools in your training or previous experiences.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions where you may need to analyse a hypothetical data set or solve a business problem. Practising these types of questions can help you think on your feet during the interview.
✨Demonstrate Your Curiosity and Willingness to Learn
Employers are looking for candidates who are curious and eager to learn. Be ready to discuss how you stay updated with industry trends and your approach to continuous learning in the field of data analytics.
