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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 guarantee and expert guidance.
- Benefits: Flexible study hours, job placement support, and recognised certifications.
- Why this job: Launch your career in data analysis with high earning potential.
- Qualifications: No prior experience needed; beginners and career changers welcome.
- Other info: 93% of graduates secure 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.
Data Analyst Career Booster Programme (Bradford) employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Career Booster Programme (Bradford)
✨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 your interview skills! We recommend doing mock interviews with friends or using our resources. The more comfortable you are, the better you'll perform when it counts.
✨Tip Number 3
Tailor your portfolio! Showcase projects that highlight your skills in Excel, SQL, Python, and Power BI. We suggest including real-world applications to impress potential employers.
✨Tip Number 4
Apply through our website! We’ve got direct connections with employers who trust our programme. Don’t miss out on those job opportunities – get your application in today!
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for data analysis shine through! We want to see why you're excited about this career path and how our programme can help you achieve your goals.
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 that show your potential to succeed in the programme!
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and make it easy for us to understand your background and aspirations.
Apply Through Our Website: Don't forget to apply through our website! It’s the easiest way for us to receive your application and get you started on your journey to becoming a data analyst. Plus, you'll find all the info you need right there!
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 training.
✨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 and analysis techniques. 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.
