Data Analyst (Entry Level)

Data Analyst (Entry Level)

Bradford Entry level 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • 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

iO-Sphere is an exceptional employer, offering a unique Data Analyst Experience Accelerator that equips you with the essential skills and hands-on experience needed to thrive in the data industry. Our supportive work culture fosters continuous learning and community engagement, ensuring that you not only gain technical expertise but also have access to ongoing mentoring and career growth opportunities. With a focus on inclusivity and equal opportunities, we are dedicated to helping you launch a meaningful and rewarding career in data analytics.
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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 skills and demonstrate your commitment to learning.

✨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 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 the role and the company during the application process. Research iO-Sphere and their partner organisations to understand their values and how you can contribute to their success.

We think you need these skills to ace Data Analyst (Entry Level)

Excel
SQL
Power BI
Python
Data Analysis
Analytical Thinking
Problem-Solving Skills
Attention to Detail
Communication Skills
Presentation Skills
Curiosity
Team Collaboration
Time Management
Adaptability

Some tips for your application 🫡

Understand the Role: Before applying, take time to understand what a data analyst does. Familiarise yourself with the skills mentioned in the job description, such as Excel, SQL, Power BI, and Python, and think about how your background aligns with these requirements.

Tailor Your CV: Make sure your CV highlights relevant skills and experiences that relate to data analysis. Use specific examples of any projects or coursework that demonstrate your analytical abilities and familiarity with data tools.

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.

Follow Application Instructions: Ensure you complete the application form accurately and submit all required documents. Double-check for any specific instructions provided by iO-Sphere to avoid missing out on important details.

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 about your experience with these tools, so be ready to share specific instances where you've used them.

✨Prepare for Scenario-Based Questions

Expect scenario-based questions that assess how you would handle real-world data challenges. Think about how you would approach analysing complex data sets and presenting your findings to management.

✨Demonstrate Your Curiosity and Willingness to Learn

Employers are looking for candidates who are curious and eager to learn. Be sure to express your enthusiasm for the field of data analysis and your commitment to continuous improvement and professional development.

Data Analyst (Entry Level)
Reed- UNLIMITED
R
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