At a Glance
- Tasks: Complete a 10-week online training to become a data analyst.
- Company: Join a programme that guarantees job placement support and industry-recognised certifications.
- Benefits: Flexible study hours, payment plans from £142/month, and expert tutor support.
- Why this job: 93% of graduates land jobs quickly, with starting salaries 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 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:
Jobtraffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Entry-Level Data Analyst Training with Job Support (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. Make sure your profile is up-to-date and highlights your newly acquired skills from the training programme. Engage with content related to data analytics to increase your visibility among recruiters.
✨Tip Number 3
Practice your interview skills with mock interviews. Reach out to friends or mentors who can provide constructive feedback. This will help you feel more confident and prepared when meeting potential employers.
✨Tip Number 4
Leverage the job placement support offered in the programme. Take full advantage of CV help and direct employer introductions to maximise your chances of landing a role quickly.
We think you need these skills to ace Entry-Level Data Analyst Training with Job Support (Hiring Immediately)
Some tips for your application 🫡
Understand the Programme: Before applying, make sure to thoroughly read the job description and understand what the Entry-Level Data Analyst Training entails. Familiarise yourself with the skills and tools you will learn, such as Excel, SQL, Python, and Power BI.
Tailor Your CV: Craft your CV to highlight any relevant skills or experiences, even if they are not directly related to data analysis. Emphasise your willingness to learn and adapt, as well as any analytical or problem-solving skills you possess.
Write a Compelling Cover Letter: In your cover letter, express your enthusiasm for the programme and your desire to start a career in data analysis. Mention why you are interested in this specific training and how it aligns with your career goals.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in the data analysis field.
How to prepare for a job interview at Jobtraffic
✨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 from your training. Highlight specific examples 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 will 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.