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⚡ Source: ReedRef: 56916708

Data Analyst Trainee

ITOL Recruit·Greenwich, London·Posted 1 week ago
💰 £30-50k/year
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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

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

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.

SpeedCV AI

Key skills

AI-extracted from the job advert

Must-have skills
CompTIA Data+ qualificationMicrosoft ExcelSQLPython 3TableauBCS Business Analysis Foundation
Nice-to-have
Data visualisation experienceDatabase administrationBusiness analysis knowledge
Soft skills
Attention to detailAnalytical thinkingCommunicationOrganisationPerceptiveness
SpeedCV AI

Application advice

5 AI-generated recommendations to maximise your chances.

1

⭐ Feature CompTIA Data+ prominently in your CV header or skills section — the advert lists it as Step 1 and the primary entry qualification for this role.

2

📊 Quantify any data-related project work: e.g. "Analysed a 10,000-row dataset in Excel, reducing reporting time by 30%" to demonstrate practical impact.

3

🎯 Create a dedicated 'Technical Skills' section listing SQL, Python 3, Tableau, and Excel explicitly — the advert names all four as core tools assessors will look for.

4

🌐 Mention the BCS Business Analysis Foundation qualification if completed, as the advert highlights it as a key differentiator for hybrid analyst roles.

5

🤝 Include any experience presenting data findings to non-technical stakeholders, since the advert stresses communicating insights to business owners and decision-makers.

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AI SpeedCV

Suggested CV bullets

3 bullets our AI drafted for this specific advert, mirroring its ATS keywords.

How to tailor your CV

Add these 3 bullets under your most recent experience:

  • Completed CompTIA Data+ certification within 4 weeks, covering data mining, manipulation, visualisation, and reporting across 30 hours of structured online study.
  • Built 3 Tableau dashboards to visualise sales and operational data for a 50-row Excel dataset, reducing manual reporting time by 40% for a university group project.
  • Wrote SQL queries to extract and filter records from a 5,000-row relational database, identifying 12 data anomalies that improved downstream reporting accuracy.

Free to copy — tailoring requires a 30-sec CV upload.

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Letter preview — tailored to ITOL Recruit

Dear Hiring Manager,

ITOL Recruit's structured Data Analyst Trainee programme — spanning CompTIA Data+, SQL, Python 3, Tableau, and the BCS Business Analysis Foundation — is precisely the pathway I have been seeking to formalise my analytical capabilities and enter the data profession. The programme's focus on practical data extraction, dashboard development, and stakeholder reporting aligns directly with the skills I want to build.

My background in organising and interpreting information has given me a strong foundation in structured thinking and clear communication. I am confident that completing the four-step qualification pathway will allow me to contribute meaningfully to data-driven business decisions from an early stage in my career.

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SpeedCV AI

Interview questions

10 questions generated from this advert.

Technical

  • Walk me through how you would extract and clean a dataset using SQL before visualising it in Tableau.
  • What are the key differences between Python 3 and SQL for data analysis tasks, and when would you use each?
  • How would you build a dashboard in Tableau to help a non-technical stakeholder understand sales trends?
  • Describe the steps you would take to validate data quality after mining it from a complex database.
  • How does the CompTIA Data+ framework approach data governance and reporting standards?

Behavioural

  • Tell me about a time you had to analyse a complex problem and present your findings clearly to others.
  • Describe a situation where your attention to detail prevented a significant error.
  • Give an example of when you had to learn a new technical skill quickly — how did you approach it?
  • Tell me about a time you organised a large amount of information to meet a deadline.
  • Describe a situation where you had to communicate a data-driven recommendation to someone without a technical background.
SpeedCV AINEW

STAR answer examples

Model answers using the Situation-Task-Action-Result framework. Adapt to your own experience.

1Question

Tell me about a time you had to analyse a complex problem and present your findings clearly to others.

Situation: During a university module, my team was tasked with identifying why student satisfaction scores had dropped 15% across three departments. Task: I volunteered to lead the data analysis and present recommendations to the module tutor. Action: I compiled survey responses from 120 students into Excel, used pivot tables to isolate the two lowest-scoring themes — timetabling and feedback turnaround — and created a simple bar chart summary. I then presented a two-minute verbal briefing with a one-page visual handout. Result: The tutor adopted both recommendations the following term, and satisfaction scores recovered to their previous level within one semester.
2Question

Give an example of when you had to learn a new technical skill quickly — how did you approach it?

Situation: At a part-time retail job, the manager introduced a new stock-tracking spreadsheet two days before the quarterly audit. Task: I needed to learn the formula logic and data validation rules before the audit deadline. Action: I spent three hours working through the spreadsheet's existing formulas, used YouTube tutorials to understand VLOOKUP and conditional formatting, and created a one-page cheat sheet for the rest of the team. Result: The audit was completed two hours ahead of schedule with zero discrepancies, and the manager asked me to train two colleagues on the same spreadsheet the following week.

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