Trainee Data Analyst
Job description
Original text imported from Reed
Are you looking to benefit from a new career in Data Analysis?
If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst
We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis.
Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles.
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 and therefore the role of the data analyst in the new digital world has become 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
Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis.
The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector.
Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers.
Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below.
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. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data.
Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.
The course is provided online and comes complete with exam simulators and revision tools.
You will be provided with 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 method which are normally IT driven.
Therefore, we will provide you with access to the following 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 - Python 3 is a simple to use programming language used by many analysts.
- Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.
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 very closely together and indeed many Data Analysts become Business Analysts and vice versa.
Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT).
Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam.
Step 4 - Recruitment Support
Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a 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 help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector.
They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need.
Our money back guarantee
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 normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months.
Check our testimonials from the hundreds of candidates we have already helped.
What Now?
To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front.
Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
Key skills
AI-extracted from the job advert
Application advice
5 AI-generated recommendations to maximise your chances.
⭐ Lead with CompTIA Data+ certification at the top of your CV — this is the cornerstone qualification the advert emphasises across all 4 training steps.
📊 Quantify any data projects: "Cleaned and validated 50,000 customer records, improving data accuracy by 15%" or "Created 8 Excel dashboards tracking monthly KPIs for 3 departments".
🎯 Highlight data visualisation tools you've used (Tableau, Power BI, Excel charts) — the advert stresses visualising data as a core skill.
🌐 If you have experience with data extraction or SQL, mention it explicitly — the advert notes data extraction is IT-driven and you'll need this employability edge.
🤝 Emphasise your analytical mindset and attention to detail in your Personal Statement — the advert lists these as essential traits for success in the role.
Suggested CV bullets
3 bullets our AI drafted for this specific advert, mirroring its ATS keywords.
Add these 3 bullets under your most recent experience:
- •Completed CompTIA Data+ certification, demonstrating mastery of data mining, manipulation, visualisation, and reporting across 30 hours of structured study.
- •Analysed 25,000 customer records in Excel, identifying 12 data quality issues and implementing validation rules that reduced future errors by 18%.
- •Created 4 business dashboards tracking monthly sales performance, inventory levels, and customer acquisition cost, enabling faster decision-making for 3 department heads.
Free to copy — tailoring requires a 30-sec CV upload.
Your cover letter is ready
We've drafted a cover letter for ITOL Recruit. Preview the opening, then unlock the full personalised version.
Letter preview — tailored to ITOL Recruit
Dear Hiring Manager,
I am writing to apply for the Trainee Data Analyst position at ITOL Recruit in Lewisham. Your career programme appeals to me precisely because it combines CompTIA Data+ certification with practical data administration training, equipping me with industry-standard skills in data mining, visualisation, and reporting from day one.
My background in analytical problem-solving and attention to detail positions me well for this entry-level pathway. I am eager to develop expertise in data extraction, manipulation, and business reporting whilst working towards the recognised qualifications that will accelerate my progression from Junior Data Analyst to fully trained analyst.
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Interview questions
10 questions generated from this advert.
Technical
- ›Walk us through the CompTIA Data+ syllabus. Which modules (data mining, manipulation, visualisation, reporting) do you feel most confident with, and why?
- ›Describe a dataset you've worked with. How would you approach cleaning and preparing it for analysis?
- ›What data visualisation tools are you familiar with, and can you give an example of a chart or dashboard you've created?
- ›Explain the difference between data extraction, data transformation, and data loading (ETL). Which step do you find most challenging?
- ›If a business stakeholder asked you to analyse customer churn, what data would you need, and how would you present your findings?
Behavioural
- ›Tell us about a time you had to learn a complex new skill quickly. How did you approach it, and what was the outcome?
- ›Describe a situation where you had to communicate technical information to a non-technical audience. How did you make it clear?
- ›Give an example of when attention to detail made a real difference to your work. What was the impact?
- ›Tell us about a time you spotted an error or inconsistency in data or a process. How did you handle it?
- ›Why are you making a career change into Data Analysis, and what excites you most about the role?
STAR answer examples
Model answers using the Situation-Task-Action-Result framework. Adapt to your own experience.
Tell us about a time you had to learn a complex new skill quickly. How did you approach it, and what was the outcome?
Describe a situation where you had to communicate technical information to a non-technical audience. How did you make it clear?