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- Tasks: Complete a 10-week online training to become a data analyst.
- Company: Join a supportive programme with job placement assistance.
- Benefits: Flexible payment plans and expert tutor support included.
- Why this job: Launch your career in data with guaranteed job placement.
- Qualifications: No experience needed; beginners and career changers welcome.
- Other info: 93% of graduates secure roles within 3 months.
The predicted salary is between 22400 - 32000 £ per year.
Job Description
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 Analyst Career Accelerator (Southend-on-Sea) employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Career Accelerator (Southend-on-Sea)
✨Tip Number 1
Network like a pro! Reach out to fellow students, tutors, and industry professionals on LinkedIn. Building connections can lead to job opportunities that aren’t even advertised yet.
✨Tip Number 2
Practice makes perfect! Use your newly acquired skills in Excel, SQL, Python, and Power BI 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
Don’t underestimate the power of a good CV! Make sure it highlights your new skills and any relevant projects. We’re here to help with CV tips, so don’t hesitate to reach out for support.
✨Tip Number 4
Get ready for interviews! Practice common data analyst interview questions and prepare to showcase your portfolio. Remember, we offer dedicated job placement support, so take advantage of that!
We think you need these skills to ace Data Analyst Career Accelerator (Southend-on-Sea)
Some tips for your application 🫡
Show Your Passion: When writing your application, let us see your enthusiasm for data analysis! Share why you're excited about this career path and how our programme can help you achieve your goals.
Tailor Your CV: Make sure your CV reflects the skills and experiences relevant to a data analyst role. Highlight any projects or coursework that demonstrate your analytical abilities, even if they're from other fields!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon to ensure we understand your background and aspirations without any confusion.
Apply Through Our Website: We encourage you to apply directly through our website for the best experience. This way, you’ll get all the latest updates and information about your application status!
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 coursework.
✨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, problem-solving scenarios, and your experience with data visualisation. Practising your responses will help you feel more confident and articulate.
✨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.
