Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Complete a 10-week online training to become a data analyst.
- Company: Join a supportive programme with job placement assistance.
- Benefits: Flexible payment plans, expert tutor support, and recognised certifications.
- Why this job: Launch your career in data analysis with guaranteed job placement.
- Qualifications: No experience needed; beginners and career changers welcome.
- Other info: 93% of graduates secure roles within 3 months; limited spaces available.
The predicted salary is between 22400 - 32000 £ 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 Analyst Employment Accelerator (Brent) employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Employment Accelerator (Brent)
✨Tip Number 1
Network like a pro! Reach out to fellow students, tutors, and industry professionals. Join online forums or local meetups to connect with people in the data field. You never know who might have a lead on your dream job!
✨Tip Number 2
Polish your portfolio! Make sure to showcase your best projects from the course. Highlight your skills in Excel, SQL, Python, and Power BI. A strong portfolio can really set you apart when employers are looking for candidates.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by doing mock sessions with friends or mentors. Focus on common data analyst questions and be ready to discuss your projects and the tools you've used. Confidence is key!
✨Tip Number 4
Apply through our website! We’ve got dedicated job placement support that can help you land interviews with top employers. Don’t miss out on the chance to get direct introductions and tailored advice from our team!
We think you need these skills to ace Data Analyst Employment Accelerator (Brent)
Some tips for your application 🫡
Show Your Passion: When writing your application, let us see your enthusiasm for data analysis! Share why you're excited about this field and how our programme can help you kickstart your career.
Tailor Your CV: Make sure your CV is tailored to highlight any relevant skills or experiences, even if they're not directly related to data analysis. We want to see your potential and how you can grow with us!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon. We appreciate a well-structured application that makes it easy for us to understand your background and goals.
Apply Through Our Website: Don’t forget to apply through our website! It’s the easiest way for us to receive your application and ensures you’re considered for the next available cohort. We can’t wait to hear from you!
How to prepare for a job interview at ITonlinelearning Recruitment
✨Know Your Tools
Make sure you’re familiar with the industry-standard tools mentioned in the job description, like Excel, SQL, Python, and Power BI. Brush up on your skills and be ready to discuss how you've used these tools in your projects or coursework.
✨Showcase Your Portfolio
Prepare to present your professional portfolio during the interview. Highlight specific projects that demonstrate your analytical skills and problem-solving abilities. Be ready to explain your thought process and the impact of your work.
✨Practice Common Questions
Anticipate common interview questions for data analyst roles, such as those about data interpretation, statistical methods, or your experience with data visualisation. Practising your responses will help you feel more confident and articulate during the interview.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask insightful 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.
