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 guarantee and expert tutor guidance.
- Benefits: Flexible payment plans, certifications, and dedicated job placement support.
- Other info: Limited spaces available; apply now to secure your spot!
- Why this job: Launch your career in data analysis with high starting salaries and strong job placement rates.
- Qualifications: No experience needed; perfect for beginners and career changers.
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.
Foundational Data Analysis Programme (Kingston upon Hull) employer: ITOL Recruit
Contact Detail:
ITOL Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Foundational Data Analysis Programme (Kingston upon Hull)
✨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 showcase during interviews.
✨Tip Number 3
Ace your interviews by preparing common data analyst questions. We’ve got your back with interview prep resources, so make sure to utilise them and practice your responses!
✨Tip Number 4
Apply through our website! It’s the best way to get noticed by employers who value our graduates. Plus, we’ll be there to support you every step of the way until you land that dream job.
We think you need these skills to ace Foundational Data Analysis Programme (Kingston upon Hull)
Some tips for your application 🫡
Show Your Enthusiasm: When you're 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. A bit of personality goes a long way!
Tailor Your CV: Make sure your CV reflects the skills and experiences relevant to the data analyst role. Highlight any projects or coursework that demonstrate your ability to work with tools like Excel, SQL, or Python. We love seeing how you connect your background to what we offer!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your key points stand out. This helps us understand your journey and aspirations quickly!
Apply Through Our Website: Don’t forget to apply directly 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, it keeps everything organised on our end!
How to prepare for a job interview at ITOL Recruit
✨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 studies.
✨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 thoughtful questions about the company and the role. This shows your genuine interest and helps you determine if the company is the right fit for you.