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For Companies At a Glance
- Tasks: Complete a 10-week online training to become a data analyst.
- Company: Join a leading programme with job guarantee and expert support.
- Benefits: Flexible payment plans, certifications, and dedicated job placement assistance.
- Other info: Limited spaces available; apply now to secure your spot!
- Why this job: Launch your career in data 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.
Data Science Analyst / Graduate in London employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Analyst / Graduate in London
✨Tip Number 1
Network like a pro! Reach out to fellow graduates, industry professionals, and even your tutors. We can help you connect with potential employers through our dedicated job placement support.
✨Tip Number 2
Practice makes perfect! Use the skills you've learned in our programme to work on real-world projects. This not only boosts your portfolio but also gives you something tangible to discuss in interviews.
✨Tip Number 3
Ace that interview! We provide expert interview preparation, so take advantage of it. Mock interviews can help you feel more confident and ready to impress potential employers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re here to support you every step of the way until you land that data analyst role.
We think you need these skills to ace Data Science Analyst / Graduate in London
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for data science shine through! We want to see why you're excited about this field and how our programme can help you kickstart your career.
Tailor Your CV: Make sure your CV is tailored to the role of a Data Science Analyst. Highlight any relevant skills or experiences, even if they're from different fields. We love seeing transferable skills that show you're ready to learn and grow with us!
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and make sure your key points stand out. This will help us understand your background and motivations quickly.
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, it gives you a chance to explore more about what we offer!
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, statistical methods, and real-world applications. Practising your responses will help you feel more confident and articulate during the interview.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask thoughtful 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.