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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 study hours, competitive starting salaries, and recognised certifications.
- Why this job: Launch your career in data with guaranteed job support and expert guidance.
- Qualifications: No experience needed; beginners and career changers welcome.
- Other info: 93% of graduates land jobs within 3 months; limited spaces available.
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.
Entry-Level Data Analyst Training Program (Brent) employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Entry-Level Data Analyst Training Program (Brent)
✨Tip Number 1
Network like a pro! Reach out to fellow students, tutors, and industry professionals on LinkedIn. We can help you connect with potential employers who are looking for fresh talent.
✨Tip Number 2
Practice makes perfect! Use the skills you’ve learned in our programme to work on real-world projects. This will not only boost your confidence but also give you something impressive to show during interviews.
✨Tip Number 3
Don’t underestimate the power of a good CV! We’re here to help you craft a standout CV that highlights your new skills and projects. Make sure it’s tailored to each job you apply for.
✨Tip Number 4
Ace those interviews! We offer interview preparation sessions that will help you feel ready and confident. Remember, practice answering common questions and showcasing your skills effectively.
We think you need these skills to ace Entry-Level Data Analyst Training Program (Brent)
Some tips for your application 🫡
Show Your Enthusiasm: When writing your application, let your passion for data analysis shine through! We want to see that you're excited about learning and growing in this field, so don’t hold back on expressing why you’re interested in the programme.
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 love seeing transferable skills, so if you've worked with numbers or problem-solving in any capacity, be sure to mention it!
Keep It Clear and Concise: We appreciate a well-structured application. Keep your writing clear and to the point, avoiding jargon unless it's necessary. This shows us that you can communicate effectively, which is key in data roles!
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. Plus, you’ll get all the latest updates directly from us!
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 them in your training or projects.
✨Showcase Your Portfolio
Prepare to present your professional portfolio during the interview. Highlight specific projects that demonstrate your analytical skills and problem-solving abilities. This will give potential employers a clear picture of what you can bring to their team.
✨Practice Common Questions
Anticipate common interview questions for data analyst roles, such as those about data interpretation or problem-solving scenarios. Practising your responses will help you feel more confident and articulate during the actual 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.
