Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our 10-week online Data Analyst Bootcamp and gain essential skills.
- Company: We offer a comprehensive training programme with job placement support.
- Benefits: Flexible study hours, job guarantee, and payment plans from £142/month.
- Why this job: Launch your career in data analytics with expert support and real projects.
- Qualifications: No experience needed; perfect for beginners and career changers.
- Other info: Limited spaces available; apply now to secure your spot!
The predicted salary is between 28000 - 38000 £ per year.
Data Analyst Course Programme – Job Guarantee Included
Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month.
The Programme
Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions.
The Outcome
93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000.
Who This Is For
The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only.
Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.
Contact Detail:
MindMatch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Online Data Analytics Bootcamp (Hiring Immediately)
✨Tip Number 1
Make sure to network with professionals in the data analytics field. Attend online webinars, join relevant LinkedIn groups, and connect with alumni from the bootcamp. This can help you gain insights and potentially lead to job opportunities.
✨Tip Number 2
Utilise the dedicated job placement support offered by the programme. Engage actively with your career coach, ask for feedback on your portfolio, and practice mock interviews to boost your confidence before meeting potential employers.
✨Tip Number 3
Focus on building a strong professional portfolio during your training. Showcase your projects using industry-standard tools like Excel, SQL, Python, and Power BI. A well-presented portfolio can significantly impress hiring managers.
✨Tip Number 4
Stay updated on the latest trends and technologies in data analytics. Follow industry blogs, podcasts, and news to demonstrate your passion and knowledge during interviews, making you a more attractive candidate.
We think you need these skills to ace Online Data Analytics Bootcamp (Hiring Immediately)
Some tips for your application 🫡
Understand the Programme: Familiarise yourself with the details of the Online Data Analytics Bootcamp. Highlight how the skills and certifications offered align with your career goals in data analytics.
Tailor Your CV: Craft a CV that emphasises any relevant skills or experiences, even if they are not directly related to data analytics. Focus on transferable skills such as problem-solving, analytical thinking, and attention to detail.
Write a Compelling Cover Letter: In your cover letter, express your enthusiasm for the programme and explain why you want to transition into a data analyst role. Mention your willingness to learn and adapt, as well as your commitment to completing the course.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for spelling and grammatical errors, and ensure that your documents are formatted professionally. A polished application reflects your attention to detail.
How to prepare for a job interview at MindMatch
✨Know Your Tools
Familiarise yourself with the industry-standard tools you'll be using, such as Excel, SQL, Python, and Power BI. Be prepared to discuss how you've used these tools in your projects or coursework during the interview.
✨Showcase Your Portfolio
Bring along your professional portfolio that includes workplace projects. Highlight specific examples that demonstrate your analytical skills and problem-solving abilities, as this will give the interviewer a clear picture of your capabilities.
✨Practice Common Interview Questions
Prepare for common data analyst interview questions, such as those related to data interpretation, statistical analysis, and your experience with data visualisation. Practising your responses can help you feel more confident during the interview.
✨Ask Insightful Questions
At the end of the interview, ask thoughtful questions about the company’s data practices, team structure, or future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
