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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: 93% of graduates land jobs quickly, making this a fantastic opportunity for career growth.
- 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 about the hiring process.
✨Tip Number 2
Utilise LinkedIn effectively. Make sure your profile highlights your newly acquired skills in SQL, Python, and Power BI. 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 technical questions related to SQL and data manipulation, as well as scenario-based questions that assess your problem-solving skills.
✨Tip Number 4
Leverage the job placement support offered in the programme. Attend all workshops and utilise the CV help and interview preparation resources. These services are designed to give you a competitive edge in the job market.
We think you need these skills to ace Graduate Data Analyst (SQL)
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Graduate Data Analyst position. Understand the skills required, such as SQL, Excel, and Python, and think about how your background aligns with these requirements.
Tailor Your CV: Customise your CV to highlight relevant skills and experiences that match the job description. Emphasise any coursework or projects related to data analysis, especially those involving SQL and other tools mentioned in the programme.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the training programme. Mention why you are interested in becoming a data analyst and how the programme will help you achieve your career goals.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in data analysis roles.
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 might work on. It shows that you're engaged and eager to learn more about the position.
