Data Analyst (Entry Level)

Reed- UNLIMITED
Coventry
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Are you looking to kickstart your career in data?

Join iO-Spheres Data Analyst Experience Accelerator to land a job as a data analyst at a leading organisation!

-------------------------------------------------------------------------------------------------------

Apply now to join our upcoming cohorts starting April 28th: https://io-sphere.io/data-analytics

-------------------------------------------------------------------------------------------------------

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, youll 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 identity 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: https://io-sphere.io/data-analytics

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: https://io-sphere.io/data-analytics

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.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.