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For Companies 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 expert support.
- Benefits: Flexible study hours, payment plans from £142/month, and recognised certifications.
- Why this job: 93% of graduates land jobs quickly, with salaries starting at £28,000.
- Qualifications: No prior experience needed; perfect for beginners and career changers.
- Other info: Limited spaces available; apply now to kickstart your data career!
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:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Career Launcher (Hiring Immediately)
✨Tip Number 1
Network with professionals in the data analytics field. Attend local meetups, webinars, or online forums to connect with industry experts and fellow learners. This can lead to valuable insights and potential job opportunities.
✨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 follow companies you're interested in to stay informed about job openings.
✨Tip Number 3
Take advantage of the dedicated job placement support offered in the programme. Participate actively in mock interviews and CV workshops to refine your presentation skills and ensure you stand out to potential employers.
✨Tip Number 4
Build a strong portfolio showcasing your projects completed during the course. Highlight your use of tools like Excel, SQL, Python, and Power BI, as this will demonstrate your practical skills to employers and make your application more appealing.
We think you need these skills to ace Data Analyst Career Launcher (Hiring Immediately)
Some tips for your application 🫡
Understand the Programme: Familiarise yourself with the Data Analyst Course Programme. Highlight how the skills and certifications offered align with your career goals 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 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 become a data analyst. Mention your willingness to learn and adapt, as well as your commitment to completing the course.
Highlight Your Commitment: Make sure to convey your dedication to the 10-week training schedule. Discuss your ability to manage your time effectively and your readiness to engage with the coursework and job placement support.
How to prepare for a job interview at ITonlinelearning Recruitment
✨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 a professional portfolio that highlights your 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
Prepare for common data analyst interview questions, such as those related to data interpretation, problem-solving, and analytical thinking. 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 or team dynamics. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
