Back to all jobs
⚡ Source: ReedRef: 56916663

Data Analyst Trainee

ITOL Recruit·Birmingham, West Midlands·Posted 1 week ago
💰 £30-50k/year
Tailor my CV for this job — Free

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.

SpeedCV AI

Key skills

AI-extracted from the job advert

Must-have skills
CompTIA Data+ CertificationData mining techniquesData visualisationData manipulation and cleaning
Nice-to-have
SQL queryingExcel advanced functionsBusiness reporting experienceStatistical analysis
Soft skills
Attention to detailAnalytical thinkingCommunicationOrganisationProblem-solving
SpeedCV AI

Application advice

5 AI-generated recommendations to maximise your chances.

1

⭐ Highlight CompTIA Data+ certification prominently in your CV, as this is the foundational qualification the programme requires and employers seek.

2

📊 Quantify any data projects: "Analysed 50,000+ customer records to identify 12% revenue uplift opportunity" or "Created 8 automated reports reducing manual processing by 6 hours weekly".

3

🎯 Emphasise entry-level readiness: if you have no data analysis experience, lead with "Career changer seeking structured pathway into Data Analysis" rather than hiding it.

4

🌐 List Excel, SQL, and any visualisation tools (Tableau, Power BI) separately in a Technical Skills section—recruiters scan for these first.

5

🤝 If you've worked in any role involving numbers, reporting, or spreadsheets, reframe it as "data-adjacent": "Processed monthly invoices (500+ transactions) ensuring 99.8% accuracy" shows analytical rigour.

NEW
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 exam, demonstrating mastery of data mining, manipulation, and visualisation across 30 hours of structured study.
  • Processed and reconciled 2,400+ monthly transaction records in Excel, identifying 8 data discrepancies and achieving 99.7% accuracy rate.
  • Created 3 automated monthly reporting dashboards for departmental KPIs, reducing manual data compilation time by 5 hours per cycle.

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

NEW
AI cover letter

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 applying for the Data Analyst Trainee position with ITOL Recruit in Birmingham. Your structured career programme, anchored by the CompTIA Data+ qualification, appeals to me precisely because I am seeking a clear entry route into data analysis. I am detail-oriented, analytical, and keen to master data mining, visualisation, and reporting—the core skills you outline.

My background in [Your background—e.g. customer service, finance administration, or any role involving data handling] has shown me how valuable accurate data analysis is to business decisions. I am committed to completing the CompTIA Data+ course and the data administration training at a pace that suits my current circumstances, and I am confident the flexible online format will allow me to progress quickly.

Get my personalised letter — free

Free signup, no card needed. Export to PDF/Word requires a £1.99 trial (14 days).

SpeedCV exclusive
SpeedCV AI

Interview questions

10 questions generated from this advert.

Technical

  • What is the difference between data mining and data manipulation, and can you give an example of when you'd use each?
  • Describe the steps you would take to clean a dataset with missing values and duplicates before analysis.
  • How would you approach visualising sales data to help a business manager identify seasonal trends?
  • What is the purpose of a multiple choice exam in the CompTIA Data+ qualification, and what topics would you expect to cover?
  • If you were asked to extract data from three different IT systems, what challenges might you face and how would you overcome them?

Behavioural

  • Tell me about a time you had to learn a new skill quickly. How did you approach it and what was the outcome?
  • Describe a situation where you had to communicate complex information to someone without a technical background.
  • Give an example of when you spotted an error or inconsistency in data or processes. What did you do about it?
  • Tell me about a time you worked towards a goal that required sustained effort over several weeks. How did you stay motivated?
  • Describe a situation where you had to manage your time between multiple priorities or commitments.
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 learn a new skill quickly. How did you approach it and what was the outcome?

Last year, my employer introduced a new invoicing system and I was tasked with learning it within two weeks to train the rest of my team. I broke the system down into five core modules, worked through the official documentation for 1.5 hours daily, and created a step-by-step guide as I learned. By day 10, I was confident enough to deliver a 45-minute training session to 6 colleagues. Three months later, invoice processing errors dropped by 22% because the team understood the system thoroughly. This taught me that structured, self-directed learning combined with teaching others reinforces understanding and creates measurable business impact.
2Question

Describe a situation where you had to communicate complex information to someone without a technical background.

In my previous role, I had to explain why our customer database had 340 duplicate records to our non-technical operations manager. Instead of using database jargon, I created a simple spreadsheet showing three real customer examples side-by-side, highlighting how duplicates created confusion and cost us £800 in wasted marketing spend. I then proposed a three-step cleaning plan with a timeline. The manager immediately approved the project and allocated me 8 hours to execute it. This experience showed me that translating technical concepts into business impact—using numbers and real examples—is how analysts drive decision-making.

Similar jobs

View all