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For Companies At a Glance
- Tasks: Complete a 10-week online training to become a data analyst.
- Company: Join a supportive programme with job guarantee and expert tutor guidance.
- Benefits: Flexible payment plans, certifications, and dedicated job placement support.
- Why this job: Launch your career in data analysis with high starting salaries and strong job prospects.
- Qualifications: No prior experience needed; perfect for beginners and career changers.
- Other info: 93% of graduates secure roles within 3 months; limited spaces available.
The predicted salary is between 22400 - 32000 £ per year.
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 Analysis Jumpstart Program (Waltham Forest) in London employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analysis Jumpstart Program (Waltham Forest) in London
✨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 the projects you completed during the programme. Highlight your skills in Excel, SQL, Python, and Power BI. A strong portfolio can set you apart from other candidates.
✨Tip Number 3
Practice your interview skills! Use mock interviews to get comfortable with common questions. We can help you prepare, so don’t hesitate to reach out for tips and tricks to ace that interview.
✨Tip Number 4
Apply through our website! We’ve got direct connections with employers looking for fresh talent. Don’t miss out on the chance to land a role with the support of our dedicated job placement team.
We think you need these skills to ace Data Analysis Jumpstart Program (Waltham Forest) in London
Some tips for your application 🫡
Show Your Enthusiasm: When writing your application, let your passion for data analysis shine through! We want to see that you're excited about the opportunity and ready to dive into the world of data. A bit of personality goes a long way!
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight any relevant skills or experiences, even if they’re from different fields. We love seeing how your unique background can bring something special to our programme!
Keep It Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible and avoid jargon. This helps us quickly see why you’d be a great fit for the programme.
Apply Through Our Website: Don’t forget to apply through our website! It’s the easiest way for us to receive your application and ensures you’re considered for the next available cohort. We can’t wait to see what you bring to the table!
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 tools. Practising your responses will help you feel more confident and articulate during the 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 the company is the right fit for you.
