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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 guaranteed job placement.
- Benefits: Earn certifications, get expert support, and flexible payment options.
- Why this job: Launch your career in data with high starting salaries and strong job placement rates.
- Qualifications: No experience needed; beginners and career changers welcome.
- Other info: Limited spaces available; 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 Job Placement Programme (Reading) employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Job Placement Programme (Reading)
✨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 best projects from the programme. Highlight your skills in Excel, SQL, Python, and Power BI. A strong portfolio can really set you apart when employers are looking for candidates.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by doing mock interviews with friends or mentors. Focus on common data analyst questions and be ready to discuss your projects and the tools you've learned during the course.
✨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 Job Placement Programme (Reading)
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for data analysis shine through! We want to see why you're excited about this programme and how it fits into your career 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 love seeing transferable skills that can help you succeed in the data world!
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and make sure your key points stand out. This will help us understand your fit for the programme quickly.
Apply Through Our Website: Don't forget to apply through our website! It’s the easiest way for us to receive your application and get you started on your journey to becoming a data analyst. Plus, you'll find all the info you need 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.
