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For Companies At a Glance
- Tasks: Complete a 10-week online training to become a data analyst.
- Company: Join a programme with a job guarantee and expert support.
- Benefits: Flexible payment plans, certifications, and dedicated job placement assistance.
- Why this job: Launch your career in data analysis with high starting salaries and strong job placement rates.
- Qualifications: No prior experience needed; beginners and career changers welcome.
- Other info: Limited spaces available, so apply now to secure your spot!
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 Analyst Career Accelerator (Crawley) employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Career Accelerator (Crawley)
✨Tip Number 1
Network like a pro! Reach out to fellow students, tutors, and industry professionals. Join online forums or local meetups to connect with people in the data field. You never know who might have a lead on your dream job!
✨Tip Number 2
Polish your portfolio! Make sure to showcase your projects from the course. Highlight your skills in Excel, SQL, Python, and Power BI. A strong portfolio can set you apart from other candidates when applying for roles.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by doing mock sessions with friends or mentors. Focus on common data analyst questions and be ready to discuss your projects and the tools you've learned.
✨Tip Number 4
Apply through our website! We’ve got direct connections with employers looking for fresh talent. Don’t hesitate to use our job placement support – it’s there to help you land that first role in data analysis!
We think you need these skills to ace Data Analyst Career Accelerator (Crawley)
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 is tailored to highlight any relevant skills or experiences, even if they're from different fields. We want to see how your background can bring a unique perspective to data analysis!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon. We appreciate a well-structured application that makes it easy for us to understand your journey and aspirations.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the info you need about the programme right there.
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 training or projects.
✨Showcase Your Portfolio
Prepare to present your professional portfolio during the interview. Highlight specific projects that demonstrate your analytical skills and problem-solving abilities. This is your chance to show what you can do!
✨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.
✨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 it’s the right fit for you.
