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For Companies At a Glance
- Tasks: Complete a 10-week online training to become a data analyst.
- Company: Join a programme with a job guarantee and expert support.
- Benefits: Flexible payment plans, certifications, and dedicated job placement assistance.
- Why this job: Launch your career in data analysis with industry-standard tools and real projects.
- Qualifications: No experience needed; perfect for beginners and career changers.
- 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.
Foundational Data Analysis Programme (Kingston upon Hull) employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment 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 your interview skills! We recommend doing mock interviews with friends or using online platforms. 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 looking for candidates just like you. Don’t miss out on the chance to land your dream job with our support!
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 the opportunity and ready to dive into the world of data.
Tailor Your CV: Make sure your CV is tailored to highlight any relevant skills or experiences, even if they're from different fields. We love seeing how your unique background can bring a fresh perspective to data analysis!
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 see why you’d be a great fit for the programme.
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 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 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 and the role. This shows your genuine interest and helps you determine if the company is the right fit for you. Think about what you want to know regarding their data practices or team dynamics.
