Trainee Data Analyst
Descrizione del posto
Texte original importé depuis 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.
Competenze chiave estratte
La nostra IA ha analizzato l'offerta per identificare le competenze richieste.
I nostri consigli per candidarsi
5 recommandations générées par notre IA pour maximiser vos chances.
⭐ Highlight CompTIA Data+ certification prominently in your CV's qualifications section, as the advert makes this the cornerstone of the entry-level pathway.
📊 Quantify any data projects you've completed: "Analysed 50,000 transaction records to identify 12% cost savings opportunity" or similar metrics.
🌐 Emphasise your detail orientation and organisational skills with concrete examples: "Maintained 99% accuracy in data entry across 3 monthly reporting cycles" or "Organised 15+ datasets for cross-departmental analysis".
🎯 If you lack formal experience, frame any data-adjacent work (spreadsheets, databases, reporting) as foundational: "Created pivot tables and dashboards in Excel for 8 departmental reports".
🤝 Stress your ability to communicate findings clearly, as the advert values those who "communicate well with those around you" — include examples of presenting data insights to non-technical stakeholders.
Bullets CV suggérés
3 bullets générés par notre IA pour cette offre, alignés sur ses mots-clés ATS.
Ajoutez ces 3 bullets sous votre expérience la plus récente :
- •Completed CompTIA Data+ certification, demonstrating mastery of data mining, manipulation and visualisation across 30 hours of structured study.
- •Organised and analysed 25,000+ transaction records in Excel, identifying 3 cost-saving opportunities worth £8,400 annually for stakeholder review.
- •Communicated data insights to 12 non-technical team members through monthly dashboard reports, achieving 95% accuracy in data entry and reporting cycles.
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Votre lettre de motivation est prête
Nous avons rédigé une lettre pour ITOL Recruit. Découvrez l'ouverture, puis débloquez la version complète personnalisée.
Aperçu — adapté à ITOL Recruit
Dear Hiring Manager,
I am writing to apply for the Trainee Data Analyst position with ITOL Recruit in Cheshire East. Your structured career programme, anchored by CompTIA Data+ certification and covering data mining, visualisation and manipulation, aligns perfectly with my ambition to transition into data analysis. I am detail-orientated, organised and analytical — qualities your advert identifies as essential for success in this role.
My background in [candidate to insert relevant experience: e.g. "administrative or analytical work"] has developed my attention to detail and communication skills. I am committed to completing the CompTIA Data+ qualification and the data administration training within the timeframe offered, and I understand the importance of data-driven decision-making in modern business.
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Domande probabili del colloquio
10 questions générées à partir de cette offre.
Tecniche
- ›Can you explain the difference between data mining and data extraction, and why both are important in a data analyst role?
- ›Walk us through how you would approach visualising a dataset with 100,000 records across 5 dimensions.
- ›What experience do you have with data manipulation tools or spreadsheet software, and can you give an example of a task you completed?
- ›How would you ensure data accuracy and quality when preparing reports for business stakeholders?
- ›Describe your understanding of how data analysis supports business decision-making with a real-world example.
Comportamentali
- ›Tell us about a time when you had to communicate complex information to someone with limited technical knowledge. How did you approach it?
- ›Describe a situation where you identified an error or inconsistency in data. What did you do and what was the outcome?
- ›Give an example of when you had to work to a tight deadline. How did you manage your time and stay organised?
- ›Tell us about a time when you had to learn a new tool or skill quickly. How did you approach the learning process?
- ›Describe a situation where attention to detail made a significant difference to your work or a project outcome.
Exemples de réponses STAR
Réponses modèles avec la méthode Situation-Tâche-Action-Résultat. À adapter à votre vécu.
Tell us about a time when you had to communicate complex information to someone with limited technical knowledge. How did you approach it?
Describe a situation where you had to learn a new tool or skill quickly. How did you approach the learning process?