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- Tasks: Complete a 10-week online training to become a data analyst.
- Company: Join a leading programme with guaranteed job placement support.
- Benefits: Earn industry-recognised certifications and build a professional portfolio.
- Other info: 93% of graduates secure roles within 3 months; starting salaries up to £38,000.
- Why this job: Launch your career in data with flexible study options and expert support.
- Qualifications: No experience needed; perfect for beginners and career changers.
The predicted salary is between 28000 - 38000 £ per year.
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 Science Graduate Scheme in London employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Graduate Scheme in London
✨Tip Number 1
Network like a pro! Reach out to fellow graduates, industry professionals, and even your tutors. LinkedIn is a great place to connect and engage with people in the data field. You never know who might have a lead on your dream job!
✨Tip Number 2
Practice makes perfect! Before your interviews, run through common data analyst questions and scenarios. Use your portfolio projects as talking points to showcase your skills and experience. The more you prepare, the more confident you'll feel!
✨Tip Number 3
Don’t just apply for jobs; tailor your applications! Make sure your CV highlights the skills and tools you've learned during the programme. Use keywords from the job description to catch the employer's eye. We can help with CV tips if you need it!
✨Tip Number 4
Take advantage of our job placement support! We’re here to help you with interview prep and direct introductions to employers. Make sure to utilise these resources – they can be the key to landing that first role in data!
We think you need these skills to ace Data Science Graduate Scheme in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let us see your enthusiasm for data science! Share why you're excited about the field and how our programme can help you kickstart your career.
Tailor Your CV: Make sure your CV is tailored to the Data Science Graduate Scheme. Highlight any relevant skills or experiences, even if they're from different fields. We want to see how your background can bring a unique perspective to data analysis!
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 see your potential.
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, we love seeing applications come directly from our site!
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 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. 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 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.