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: Enjoy flexible study hours, expert tutor support, and dedicated job placement assistance.
- Why this job: Launch your career in data with a high success rate and competitive starting salaries.
- 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:
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 lead to valuable insights and potential job opportunities.
✨Tip Number 2
Utilise LinkedIn effectively. Make sure your profile highlights your newly acquired skills and certifications from the 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 by 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: Familiarise yourself with the details of the Data Analyst Course Programme. Highlight how your background or interests align with the skills taught, such as Excel, SQL, Python, and Power BI.
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 your eagerness to learn. Mention why you are interested in a career as a data analyst and how this training will help you achieve your goals.
Highlight Your Commitment: Make sure to convey your commitment to completing the 10-week training. Discuss your ability to manage your time effectively, especially since the programme requires 10-15 hours of study per week.
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 learned these tools during your training and any projects you've completed that showcase your skills.
✨Showcase Your Portfolio
Bring along a portfolio of your work to the interview. Highlight specific projects that demonstrate your analytical skills and problem-solving abilities. This will give potential employers a tangible sense of what you can bring to their team.
✨Prepare for Common Questions
Research common interview questions for data analyst roles and practice your responses. Be ready to explain your thought process when analysing data and how you approach problem-solving in real-world scenarios.
✨Ask Insightful Questions
At the end of the interview, ask thoughtful questions about the company’s data practices or the team you would be working with. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.