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- 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 from £142/month.
- 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.
Data Analytics Career Accelerator (Hiring Immediately) employer: Placed
Contact Detail:
Placed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Career Accelerator (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 showcases your newly acquired skills 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
Participate in online forums and communities focused on data analytics. Websites like Reddit or specialised Facebook groups can provide valuable advice, job leads, and support from others who are also looking for roles in this field.
✨Tip Number 4
Take advantage of the job placement support offered by our programme. Be proactive in seeking help with interview preparation and CV reviews, as this tailored support can significantly increase your chances of landing a job.
We think you need these skills to ace Data Analytics Career Accelerator (Hiring Immediately)
Some tips for your application 🫡
Understand the Programme: Familiarise yourself with the Data Analytics Career Accelerator programme. Highlight your understanding of the course structure, tools you'll learn, and the job guarantee included 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 analytics. 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 how it aligns with your career goals. Mention your willingness to learn and adapt, especially since the programme is beginner-friendly.
Highlight Your Commitment: Make sure to convey your commitment to completing the 10-week training. Discuss your ability to manage your time effectively, as the programme requires 10-15 hours of study per week.
How to prepare for a job interview at Placed
✨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 your professional portfolio that includes workplace projects. Highlight specific examples that demonstrate your analytical skills and problem-solving abilities, as this will give interviewers a clear picture of your capabilities.
✨Prepare for Common Questions
Anticipate common interview questions related to data analysis, such as explaining your approach to a data problem or discussing a project you worked on. 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 in the position and helps you assess if the company is the right fit for you.