At a Glance
- Tasks: Complete a 10-week online training to become a data analyst.
- Company: Beginner-friendly programme with job placement guarantee.
- Benefits: Flexible financing, expert support, and recognised certifications.
- Why this job: Launch your career in data with high starting salaries and job security.
- Qualifications: No prior experience needed; suitable for career changers.
- Other info: 93% of graduates secure roles within 3 months.
The predicted salary is between 28000 - 38000 Β£ 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.
Beginner Data Analyst Course with Job Placement (Grimsby) employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Beginner Data Analyst Course with Job Placement (Grimsby)
β¨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.
β¨Tip Number 2
Practice makes perfect! Use the skills youβve learned in our course to work on real-world projects. This will not only boost your confidence but also give you something impressive to show during interviews.
β¨Tip Number 3
Ace that interview! We offer dedicated interview preparation support, so take advantage of it. Mock interviews can help you feel more at ease and ready to impress your future employer.
β¨Tip Number 4
Apply through our website! We have direct connections with employers looking for candidates just like you. Donβt miss out on those opportunities β get your application in and let us help you land that job!
We think you need these skills to ace Beginner Data Analyst Course with Job Placement (Grimsby)
Some tips for your application π«‘
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 learning and growing in this field, so donβt hold back on expressing why youβre keen to join our programme.
Tailor Your Application: Make sure to customise your application to highlight how your background aligns with the skills we teach. Even if youβre a complete beginner, share any relevant experiences or interests that show your potential as a data analyst!
Keep It Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use simple language and avoid jargon unless itβs necessary. This helps us understand your message without getting lost in complicated terms.
Apply Through Our Website: Donβt forget to apply directly through our website! Itβs the easiest way for us to receive your application and ensures youβre considered for the next available cohort. Plus, youβll get all the latest updates straight from us!
How to prepare for a job interview at ITonlinelearning Recruitment
β¨Know Your Tools
Make sure youβre 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 coursework.
β¨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.
β¨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.
β¨Ask Insightful Questions
At the end of the interview, donβt forget to ask insightful questions about the companyβs 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.