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For Companies At a Glance
- Tasks: Join our 10-week online training to become a data analyst with hands-on projects.
- Company: We offer a job guarantee and expert support to kickstart your career in data.
- Benefits: Flexible study hours, payment plans from £142/month, and job placement assistance included.
- Why this job: 93% of graduates land jobs quickly, earning between £28,000 and £38,000.
- Qualifications: No prior 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 Data Analyst Training Programme (Hiring Immediately)
✨Tip Number 1
Network with professionals in the data analytics field. Attend local meetups or online webinars to connect with industry experts and fellow learners. This can help you gain insights into the job market and potentially lead to job opportunities.
✨Tip Number 2
Utilise social media platforms like LinkedIn to showcase your skills and projects. Share your learning journey and engage with content related to data analytics. This visibility can attract recruiters and employers looking for fresh talent.
✨Tip Number 3
Take advantage of the dedicated job placement support offered in the programme. Actively participate in mock interviews and CV workshops to refine your presentation skills and ensure you're well-prepared when opportunities arise.
✨Tip Number 4
Build a strong portfolio showcasing your projects completed during the training. Highlight your use of tools like Excel, SQL, Python, and Power BI. A well-presented portfolio can significantly enhance your chances of impressing potential employers.
We think you need these skills to ace Data Analyst Training Programme (Hiring Immediately)
Some tips for your application 🫡
Understand the Programme: Familiarise yourself with the Data Analyst Training Programme details. Highlight your interest in learning industry-standard tools like Excel, SQL, Python, and Power BI in your application.
Tailor Your CV: Craft a CV that emphasises any relevant skills or experiences, even if they are not directly related to data analysis. Mention your willingness to learn and adapt, as this programme is beginner-friendly.
Write a Compelling Cover Letter: In your cover letter, express your enthusiasm for the programme and how it aligns with your career goals. Discuss your motivation for transitioning into a data analyst role and your commitment to completing the training.
Highlight Your Availability: Clearly state your availability for the part-time study schedule of 10-15 hours per week. This shows your readiness to commit to the programme and manage your time effectively.
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 training or any projects you've completed.
✨Showcase Your Portfolio
Bring along your professional portfolio that includes workplace projects. This is a great way to demonstrate your skills and practical experience, even if you're a beginner.
✨Prepare for Common Questions
Anticipate common interview questions for data analyst roles, such as those related to data interpretation, problem-solving, and analytical thinking. Practising your responses can help you feel more confident.
✨Ask Insightful Questions
Prepare thoughtful questions to ask the interviewer about the company, team dynamics, and the specific role. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
