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- Tasks: Complete a 10-week online training to become a skilled Data Analyst.
- Company: Join a programme that guarantees job placement support and industry-recognised certifications.
- Benefits: Enjoy flexible financing options and expert tutor support throughout your studies.
- Why this job: Kickstart your career with a beginner-friendly course and a high graduate success rate.
- Qualifications: No prior experience needed; just a passion for data and learning.
- Other info: Study part-time with just 10-15 hours per week and build a professional portfolio.
The predicted salary is between 28800 - 43200 £ 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. 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. 93% of graduates secure data analyst roles within 3 months. The programme is completely beginner friendly, so no experience needed. Ready to start earning in data?
Graduate Data Analyst (SQL) employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Analyst (SQL)
✨Tip Number 1
Network with fellow graduates and industry professionals. Join online forums or local meetups related to data analysis to connect with others in the field. This can lead to valuable job leads and insights into what employers are looking for.
✨Tip Number 2
Utilise LinkedIn effectively. Make sure your profile highlights your newly acquired skills in SQL, Python, and other tools from our programme. Engage with content related to data analysis and follow companies you're interested in to stay updated on job openings.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions. Focus on how to explain your projects and the tools you've used, as well as demonstrating your problem-solving skills. Mock interviews with peers can also be incredibly beneficial.
✨Tip Number 4
Leverage the job placement support we offer. Take full advantage of CV help and direct employer introductions. Our team is here to assist you, so don’t hesitate to ask for guidance on how to approach potential employers.
We think you need these skills to ace Graduate Data Analyst (SQL)
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the responsibilities of a Graduate Data Analyst. Highlight your understanding of SQL, Excel, Python, and Power BI in your application to show you’re ready for the role.
Tailor Your CV: Make sure your CV reflects the skills and experiences relevant to data analysis. Include any coursework or projects related to data tools and techniques, even if they were part of your training programme.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your eagerness to learn. Mention how the training programme has prepared you for this position and express your enthusiasm for contributing to the company.
Highlight Certifications: If you have completed any relevant certifications, such as BCS or CompTIA, make sure to mention them prominently in your application. This demonstrates your commitment to the field and enhances your credibility.
How to prepare for a job interview at ITonlinelearning Recruitment
✨Know Your SQL Basics
Make sure you brush up on your SQL knowledge before the interview. Be prepared to answer questions about queries, joins, and data manipulation. Practising common SQL problems can help you feel more confident.
✨Showcase Your Projects
During the interview, highlight the projects you've completed during your training. Discuss the tools you used, the challenges you faced, and how you overcame them. This will demonstrate your practical experience and problem-solving skills.
✨Understand the Company’s Data Needs
Research the company you're interviewing with and understand their data-related challenges. Tailor your answers to show how your skills can help them solve these issues. This shows initiative and a genuine interest in the role.
✨Prepare Questions to Ask
Have a few thoughtful questions ready to ask the interviewer. This could be about the team structure, the tools they use, or the types of projects you'll be working on. It shows that you're engaged and eager to learn more about the position.
