Data Analyst Trainee
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 your CV Personal Statement with your CompTIA Data+ qualification (or enrolment status) as the advert names it as Step 1 and the primary hiring signal.
📊 Quantify any data-handling experience you already have, even informally: "Analysed 5,000-row spreadsheet to identify £2,400 in cost savings for a student project."
🎯 Mirror the advert's language precisely — use "data mining", "data visualisation" and "data reporting" as section headers or bullet keywords to pass ATS screening.
🌐 Highlight any online self-study or e-learning platforms (Coursera, LinkedIn Learning, Khan Academy) to demonstrate you can complete the programme's self-paced online format.
🤝 Include a brief note on any role where you used data to support a decision — retail stock counts, finance reconciliations, or academic research all count at entry level.
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+ qualification, covering data mining, manipulation, visualisation and reporting across 30 hours of structured online study.
- •Analysed a 3,000-row sales dataset using Excel pivot tables to identify a 12% revenue variance, presenting findings to a 5-person team.
- •Organised and reconciled 6 months of transactional records for a student finance project, reducing categorisation errors by 95% through systematic data validation.
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,
ITOL Recruit's Data Analyst Trainee programme is precisely the structured entry point I have been seeking into a data-driven career. The CompTIA Data+ pathway, covering data mining, visualisation and reporting, aligns directly with the analytical and detail-oriented approach I bring from my background, and I am fully committed to completing the qualification within the programme's self-paced online format.
My background in organising and interpreting information — whether through academic projects, spreadsheet-based analysis, or process-driven roles — has given me a solid foundation in structured thinking and communicating findings clearly to non-technical audiences. I am confident this will translate well into the data administration and reporting modules outlined in the programme.
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Interview questions
10 questions generated from this advert.
Technical
- ›What is the difference between data mining and data reporting, and when would you use each?
- ›How would you approach cleaning a dataset that contains duplicate and missing values?
- ›What does the CompTIA Data+ qualification cover, and which module did you find most challenging?
- ›Describe the steps you would take to create a data visualisation that communicates a trend to a non-technical stakeholder.
- ›What tools have you used or studied for querying and manipulating data, and what are their key differences?
Behavioural
- ›Tell me about a time you had to organise a large amount of information to reach a conclusion — what was your process?
- ›Describe a situation where you identified an error or inconsistency in data or figures. How did you handle it?
- ›Give an example of when you had to learn a new technical skill quickly. How did you structure your learning?
- ›Tell me about a time you had to communicate a complex finding to someone without a technical background.
- ›Describe a situation where you managed multiple tasks with competing deadlines. How did you prioritise?
STAR answer examples
Model answers using the Situation-Task-Action-Result framework. Adapt to your own experience.
Describe a situation where you identified an error or inconsistency in data or figures. How did you handle it?
Give an example of when you had to learn a new technical skill quickly. How did you structure your learning?