At a Glance
- Tasks: Kickstart your career by analysing data and making impactful business decisions.
- Company: Join a leading training provider with a proven track record in career support.
- Benefits: Earn while you learn, with competitive salaries and flexible training options.
- Other info: Comprehensive training and recruitment support to help you land your first role.
- Why this job: Data Analysts are in high demand, with salaries reaching £50k+ for experienced professionals.
- Qualifications: No experience needed; just a passion for data and a willingness to learn.
The predicted salary is between 30000 - 50000 € per year.
Are you looking to benefit from a new career in Data Analysis? This career program is designed for entry level individuals with limited or no experience. Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made, making the role of the data analyst essential for business owners.
Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts:
- Junior Data Analyst - £30,000
- Data Analyst - £50,000
- Business Data Analyst - £67,500
- Data Analytics Analyst - £80,000
- Business Analysts - £60,000
Step 1 - CompTIA Data+ Qualification
The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst, covering skills such as data mining, manipulating data, visualising data, and reporting on data. The course is provided online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to sitting your exam. This qualification will set you on a route to becoming a data analyst.
Step 2 - Data Administration Training
Data is extracted using various methods which are normally IT driven. Therefore, we will provide you with access to additional courses to ensure you are suitably employable as a data analyst:
- Microsoft Excel - to expert level.
- Learn SQL - the programming language used for extracting data from more complex databases.
- Learn Python 3 - a simple to use programming language used by many analysts.
- Learn Tableau - a tool used by analysts to build visually appealing dashboards for complex data.
Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam.
Step 3 - Business Analysis Foundation
Business Analysts and Data Analysts often work closely together, and many Data Analysts become Business Analysts and vice versa. Adding a Business Analyst Foundation certificate will make you more employable and enable you to cross over into business analyst roles. This course is accredited by the BCS (The British Computer Society). Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam.
Now that you are qualified for an entry level data analyst position, our recruitment support team will collaborate with you to help secure your first suitable role based on your new qualifications and any other experience you may have. We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot.
Our Recruitment Support team will assist you with job applications, interviews, and provide a full CV review based on your new qualification. They will guide you on which roles are most suitable for you as an entry level project sector worker aiming to become a project manager, including mock job interviews and any additional help you may need.
If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are usually able to help candidates find their first role within 6 months of qualifying, and for locations close to major cities, this is often reduced to less than 3 months.
To accommodate candidates, the training element of the package is available on finance terms of up to 1 year, enabling you to get qualified and start in your new role without having to fund all the training costs upfront. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions and assist you in taking the first step towards your Data Analyst career aspirations.
Data analyst / analyst in Cardiff employer: ITOL Recruit
Join a forward-thinking company that prioritises employee growth and development, especially for those starting their journey in Data Analysis. With comprehensive training programmes, including industry-recognised qualifications and hands-on support from our dedicated recruitment team, we ensure that you are well-equipped to thrive in your new role. Our supportive work culture fosters collaboration and innovation, making it an ideal environment for aspiring data analysts to launch their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data analyst / analyst in Cardiff
✨Tip Number 1
Network like a pro! Connect with fellow data enthusiasts on LinkedIn and join relevant groups. Engaging in discussions can lead to job opportunities that aren't even advertised yet.
✨Tip Number 2
Practice your interview skills! We recommend doing mock interviews with friends or using our resources. The more comfortable you are, the better you'll perform when it counts.
✨Tip Number 3
Tailor your approach! When applying for roles, make sure to highlight the skills you've gained from your CompTIA Data+ Qualification and other courses. Show them you're ready to hit the ground running!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got a dedicated recruitment support team ready to help you land that first role. They know the industry inside out and can guide you every step of the way.
We think you need these skills to ace Data analyst / analyst in Cardiff
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and qualifications mentioned in the job description. Highlight any relevant coursework or projects that showcase your data analysis abilities, even if they're from your training.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your new qualifications make you a great fit for the role. Keep it concise but engaging.
Showcase Your Skills:Don’t forget to mention the specific tools and languages you've learned, like SQL, Python, and Tableau. Employers love to see that you’re equipped with the right skills for the job!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and get you started on your journey towards becoming a Data Analyst!
How to prepare for a job interview at ITOL Recruit
✨Know Your Data Tools
Familiarise yourself with the tools and technologies mentioned in the job description, like SQL, Python, and Tableau. Be ready to discuss how you've used these tools in your training or any projects, even if they're just from your coursework.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical thinking. Think of examples where you've had to analyse data or solve problems, even in a non-professional context. This could be from your studies or personal projects, so have a few stories ready to share.
✨Understand the Business Context
Research the company you're interviewing with and understand how they use data in their business decisions. Being able to connect your skills to their specific needs will show that you're not just a qualified candidate, but also genuinely interested in their work.
✨Practice Common Interview Questions
Prepare for common interview questions for data analysts, such as 'How do you handle missing data?' or 'Can you explain a time when you used data to make a decision?' Practising your answers will help you feel more confident and articulate during the interview.
