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Data Analyst Apprentice. Job in Birmingham Education & Training Jobs

QA

Birmingham

Hybrid

GBP 18,000 - 22,000

Full time

Today
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Job summary

A leading data training provider in Birmingham is seeking a Data Analyst Apprentice to join their team. This role offers hands-on experience in data collection, analysis, and reporting. Ideal candidates should possess a strong interest in data and technology, good numerical skills, and have completed a Level 3 qualification. The position promotes a hybrid working model, providing both training and real-world project experience.

Benefits

Structured apprenticeship with formal training
Mentorship from data professionals
Real-world project experience
Flexible working arrangements
Inclusive workplace environment

Qualifications

  • Strong interest in data, analytics, and technology.
  • Good numerical ability and logical thinking.
  • Ability to collaborate and willingness to learn.

Responsibilities

  • Assist in gathering and structuring data from various sources.
  • Support development of dashboards and reports.
  • Conduct data quality checks and validation.

Skills

Data and analytics interest
Numerical ability
Problem-solving skills
Collaboration
Good communication
Attention to detail
Familiarity with spreadsheets

Education

Level 3 qualification (apprenticeship/A-levels/BTEC)
5 GCSEs including English and Maths

Tools

Excel
Microsoft products
Job description
About Sentinel Partners

Sentinel Partners is an award‑winning developer of data management software that empowers organisations to use their data more effectively. Based in Birmingham, Sentinel supports both private and public sector clients with a focus on improving analytics, launching AI initiatives, and establishing strong data foundations. Their platform helps create a unified view of citizens, customers, residents or patients by eliminating fragmented data and enabling better decisions.

Joining Sentinel means being part of a team dedicated to "Improving Data. Improving Lives." and working in an environment of high data governance, innovation and collaboration.

Overview

As a Data Analyst Apprentice, you will embark on a structured Level 4 Data Analyst Apprenticeship while working alongside experienced data professionals at Sentinel Partners. You will gain hands‑on experience in data collection, cleaning, analysis, visualisation and reporting, supporting projects across Sentinel's client base in the public and private sectors.

You will:

  • Learn to support data integration and management tasks, assisting in consolidating multiple data sources and improving data quality.
  • Work with the data team to deliver actionable insights, dashboards and reports for clients.
  • Support data governance, documentation, and quality assurance activities in line with Sentinel's high standards.
  • Participate in your apprenticeship training and apply your learning to real‑world tasks at Sentinel.
  • Develop skills in tools and technologies used for analytics and reporting, under mentorship from senior colleagues.
Responsibilities
  • Assist in gathering, cleaning and structuring data from diverse sources.
  • Support the development of dashboards, visualisations and reports for stakeholders.
  • Undertake data‑quality checks, validation and documentation of datasets.
  • Collaborate with internal teams and clients to understand data requirements and deliver insights.
  • Participate actively in your apprenticeship training and meet all related milestones and assessments.
  • Contribute to ad‑hoc data‑analysis projects as required, under supervision.
What we're looking for
  • Strong interest in data, analytics and technology.
  • Good numerical ability, logical thinking and problem‑solving skills.
  • Ability to work collaboratively as part of a team, and willingness to ask questions and learn.
  • Good communication skills – able to explain data concepts simply.
  • A keen eye for detail and a desire to build high‑quality data outputs.
  • Ideally, some familiarity with spreadsheets (e.g., Excel) and interest in learning more advanced data tools and techniques.
Entry Requirements
Standard entry
  • Level 3 qualification (apprenticeship/A‑levels/BTEC, etc)
  • OR equivalent work experience (typically two years in a relevant role)
Plus
  • 5 GCSEs, including English and Maths at Grade 4 (C) or above
  • Experience with using Excel and Microsoft products (or similar)

You may also have a combination of qualifications and experience which demonstrate the minimum foundation needed for the programme. In this instance you could still be considered for the programme.

If you hold international equivalents of the above qualifications, at the time of your application you must be able to provide an official document that states how your international qualifications compare to the UK qualifications.

For more information please visit the UK ENIC website.

Working hours

40 hours per week.

Benefits
  • A structured Level 4 Data Analyst Apprenticeship with formal training and assessment.
  • Mentorship and support from an established data firm working across multiple sectors.
  • Real‑world project experience delivering data solutions to clients alongside the Sentinel team.
  • Opportunity to develop a strong foundation in data analytics, visualisation, management and governance.
  • Hybrid working (office in Birmingham and remote) – flexible working arrangements.
  • A friendly, inclusive and professional workplace environment where learning is promoted.
Future prospects

90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average.

About QA

Our apprenticeships are the perfect way to gain new skills, earn while you learn, and launch yourself into an exciting future. With over 50,000 successful apprenticeship graduates, we're a top 50 training provider, dedicated to helping you succeed.

Interested? Apply now!
Please be advised that this advert may close prior to the closing date stated above if a high number of applications are received. If you are interested in this vacancy please apply below as soon as possible.
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