At a Glance
- Tasks: Complete a 10-week online training to become a data analyst.
- Company: Join a programme that guarantees job placement and offers industry-recognised certifications.
- Benefits: Flexible study hours, expert support, and payment plans starting at £142/month.
- Why this job: Launch your career in data with high demand skills and a supportive community.
- Qualifications: No prior experience needed; perfect for beginners and career changers.
- Other info: 93% of graduates land jobs within 3 months; starting salaries range from £28,000 to £38,000.
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 Preparation Program (Hiring Immediately)
✨Tip Number 1
Familiarise yourself with the tools you'll be learning, such as Excel, SQL, Python, and Power BI. There are plenty of free resources online that can give you a head start, making you more comfortable when you begin the programme.
✨Tip Number 2
Network with professionals in the data analytics field. Join relevant online communities or local meetups to connect with others who can provide insights and potentially refer you to job opportunities after you complete the programme.
✨Tip Number 3
Take advantage of the dedicated job placement support offered in the programme. Engage actively with your tutors and career advisors, as they can provide tailored advice and introductions to employers looking for candidates like you.
✨Tip Number 4
Build a strong professional portfolio during your training. Showcase your projects and any certifications you earn, as this will be crucial when applying for jobs and demonstrating your skills to potential employers.
We think you need these skills to ace Data Analyst Preparation Program (Hiring Immediately)
Some tips for your application 🫡
Understand the Programme: Familiarise yourself with the Data Analyst Preparation Program. Highlight your interest in learning industry-standard tools like Excel, SQL, Python, and Power BI in your application.
Tailor Your CV: Make sure your CV reflects any relevant skills or experiences, even if they are not directly related to data analysis. Emphasise your willingness to learn and adapt, as this programme is beginner-friendly.
Craft a Compelling Cover Letter: Write a cover letter that showcases your motivation for joining the programme. Mention how the job guarantee and dedicated job placement support align with your career goals.
Highlight Your Commitment: In your application, express your commitment to completing the 10-week training. Mention your availability to study part-time and your eagerness to build a professional portfolio through workplace projects.
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 just starting out.
✨Practice Common Interview Questions
Anticipate common interview questions for data analyst roles, such as those related to data interpretation and problem-solving. Practising your responses can help you feel more confident during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions to ask the interviewer about the company and the role. This shows your genuine interest and helps you determine if the company is the right fit for you.