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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 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.
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:
JobGet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Launch 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 referrals.
✨Tip Number 2
Utilise LinkedIn effectively by updating your profile to reflect your new skills and certifications from the programme. Engage with content related to data analytics and join relevant groups to increase your visibility among recruiters.
✨Tip Number 3
Practice your interview skills by conducting mock interviews with friends or mentors. Focus on common data analyst interview questions and be prepared to discuss your portfolio projects in detail, showcasing your problem-solving abilities.
✨Tip Number 4
Stay updated on industry trends and tools by following blogs, podcasts, and forums related to data analytics. This knowledge will not only enhance your understanding but also demonstrate your passion for the field during interviews.
We think you need these skills to ace Data Analyst Launch Programme (Hiring Immediately)
Some tips for your application 🫡
Understand the Programme: Familiarise yourself with the Data Analyst Launch Programme details. Highlight your understanding of the skills and tools you'll learn, such as 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. Focus on transferable skills like problem-solving, analytical thinking, and attention to detail.
Write a Compelling Cover Letter: In your cover letter, express your enthusiasm for the programme and how it aligns with your career goals. Mention your willingness to learn and adapt, as well as your commitment to completing the training.
Highlight Your Motivation: Clearly articulate why you want to become a data analyst and how this programme will help you achieve that goal. Share any personal stories or experiences that have inspired your interest in data analysis.
How to prepare for a job interview at JobGet
✨Know Your Tools
Familiarise yourself with the industry-standard tools mentioned in the programme, such as Excel, SQL, Python, and Power BI. Be prepared to discuss how you've used these tools in your projects or coursework.
✨Showcase Your Portfolio
Bring along your professional portfolio that includes workplace projects from the course. Highlight specific projects that demonstrate your analytical skills and problem-solving abilities.
✨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.
✨Ask Insightful Questions
At the end of the interview, ask thoughtful questions about the company’s data practices or team dynamics. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
