At a Glance
- Tasks: Dive into data analysis, interpreting trends and creating impactful dashboards.
- Company: Join iO-Sphere, a leader in data training and career development.
- Benefits: Enjoy flexible remote work, ongoing mentoring, and access to a vibrant community.
- Other info: Diversity is celebrated here; we welcome all backgrounds and provide support as needed.
- Why this job: Kickstart your data career with hands-on projects and real-world experience.
- Qualifications: Be numerate, curious, and ready to learn; full-time commitment for 10 weeks required.
The predicted salary is between 28800 - 48000 £ per year.
Join iO-Sphere\'s unique training programme - the Data Analyst Experience Accelerator - it is designed to secure individuals their next career step and become a data analyst.
Apply now to join our upcoming cohorts starting on 16 June,18 August and 17 October: 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
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, Big Query 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
- 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
- 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 in-person
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 and 16 June, 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.
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. #J-18808-Ljbffr
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst London (Entry Level)
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like IO Sphere when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like IO Sphere.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like IO Sphere.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through IO Sphere’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Data Analyst London (Entry Level)
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at IO Sphere, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at IO Sphere aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at IO Sphere
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
