At a Glance
- Tasks: Analyse data, build reports, and support decision-making with real projects.
- Company: Fast-growing, data-driven company with a modern remote-first culture.
- Benefits: £40,000+ salary, exceptional benefits, and flexible working hours.
- Why this job: Kickstart your data career with hands-on experience and strong growth opportunities.
- Qualifications: No experience needed; just a passion for data and analytics.
- Other info: Supportive team culture with full training and mentorship provided.
The predicted salary is between 24000 - 48000 £ per year.
Remote Data Analyst (Entry Level) Tech-Driven Company | Fully Remote (UK Time Zone)
Salary: £40,000+ per year (with exceptional benefits)
Location: 100% Remote – United Kingdom
Hours: Full-time, Monday–Friday (UK time zone)
Start Date: ASAP / Flexible
The Company
We’re recruiting on behalf of a fast-growing, data-driven company operating across the UK. The business uses data to improve decision-making, performance, and operational efficiency across its products and services. They have a modern, remote-first culture and are known for investing heavily in junior talent — providing real training, mentorship, and clear career progression. This is not a high-pressure consultancy or corporate environment. It’s a structured, supportive team where people are given time to learn, develop, and do meaningful work.
The Role
They’re hiring an Entry-Level Data Analyst to join their remote analytics team. This role is designed for someone early in their data career — or looking to break into data analytics — who wants hands-on experience, real projects, and strong long-term growth. You’ll work with live datasets, support business decisions, and build dashboards, reports, and insights used across the company. Full training, onboarding, and ongoing support are provided.
What You’ll Be Doing
- Working with structured datasets to identify trends and insights
- Building and maintaining reports and dashboards
- Supporting teams with data-driven decision making
- Cleaning, validating, and organising data
- Assisting with ad-hoc analysis and business questions
- Learning best practices in analytics, reporting, and data tools
About You
- Strong interest in data, analytics, or technology
- Comfortable working with numbers and spreadsheets
- Logical thinker with good attention to detail
- Confident written and verbal communication
- Comfortable working remotely and managing your time
You do NOT need years of experience. Graduates, career-changers, and self-taught candidates are all encouraged to apply.
Skills That Help (Not Essential)
- Excel or Google Sheets
- SQL (basic level)
- Power BI, Tableau, or similar tools
- Any experience with data, reporting, or analysis
Training will be provided regardless.
What’s On Offer
- £40,000+ starting salary
- Insane benefits package (well above market)
- Fully remote working – UK based
- Clear progression into mid-level and senior analyst roles
- Full training, mentoring, and development support
- Flexible working hours
- Supportive, professional team culture
- Long-term role with real career growth
How to Apply
If you’re based in the UK and looking to start or accelerate your career in data analytics — apply now with your CV. We’ll be in touch to discuss the role in more detail.
Data Analyst in Stoke-on-Trent employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Stoke-on-Trent
✨Tip Number 1
Network like a pro! Reach out to people in the data analytics field on LinkedIn or join relevant online communities. You never know who might have a lead on that perfect entry-level role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing any projects or analyses you've done, even if they're personal or academic. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions and scenarios. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for fresh talent ready to dive into the world of data.
We think you need these skills to ace Data Analyst in Stoke-on-Trent
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and interests mentioned in the job description. Highlight any relevant experience, even if it's from projects or coursework, to show us you're a great fit for the Data Analyst role.
Show Your Passion for Data: In your application, let us know why you're excited about data analytics. Share any personal projects or experiences that demonstrate your interest and enthusiasm for working with data — we love seeing that passion!
Keep It Clear and Concise: When writing your application, be clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication, especially when it comes to your skills and experiences.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Intellect Group
✨Know Your Data Basics
Brush up on your understanding of data analytics fundamentals. Familiarise yourself with key concepts like data cleaning, validation, and reporting. This will not only help you answer technical questions but also show your genuine interest in the field.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've approached data-related problems in the past, even if they were from academic projects or personal experiences. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your logical thinking.
✨Familiarise Yourself with Tools
Even if you don’t have extensive experience, knowing the basics of tools like Excel, Google Sheets, or SQL can give you an edge. Mention any relevant coursework or self-study you've done, as this shows initiative and a willingness to learn.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data practices, team culture, and growth opportunities. This demonstrates your enthusiasm for the role and helps you assess if the company is the right fit for you.