Data Analyst Apprenticeship

CAMBRIDGE MERIDIAN ACADEMIES TRUST

Huntingdon, PE28 5TQ

Closes in 12 days (Monday 7 October)

Posted on 17 September 2024

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Contents

Summary

As a Data Apprentice, you’ll play a key role in supporting data-driven decision-making across our academies, helping to enhance the learning experience for all.

Annual wage
£13,468 a year

Minimum wage rates (opens in new tab)

Training course
Data technician (level 3)
Hours
Monday to Friday, 37 hours per week. Shifts tbc.

37 hours a week

Possible start date

Tuesday 8 October

Duration

1 Year 3 Months

Positions available

2

Work

As an apprentice, you’ll work at a company and get hands-on experience. You’ll gain new skills and work alongside experienced staff.

What you’ll do at work

  • Data extracts from Management Information System & other essential Trust Systems and standard reports within that software
  • Import and extract data from different Management Information Systems
  • Manipulate data using pivot tables and lookups
  • Data cleansing assessing the impact of missing data
  • Produce school reports that analyse internal performance data, exam results, attendance etc.
  • Improve outcomes for children and allow school leadership to analyse and make predictions

Where you’ll work

Fen Lane

Sawtry

Huntingdon

PE28 5TQ

Training

An apprenticeship includes regular training with a college or other training organisation. At least 20% of your working hours will be spent training or studying.

College or training organisation

BALTIC TRAINING SERVICES LIMITED

Your training course

Data technician (level 3)

Equal to A level

Course contents
  • Source and migrate data from already identified different sources.
  • Collect, format and save datasets.
  • Summarise and explain gathered data.
  • Blend data sets from multiple sources and present in format appropriate to the task.
  • Manipulate and link different data sets as required.
  • Use tools and techniques to identify trends and patterns in data.
  • Apply basic statistical methods and algorithms to identify trends and patterns in data.
  • Apply cross checking techniques for identifying faults and data results for data project requirements.
  • Audit data results.
  • Demonstrate the different ways of communicating meaning from data in line with audience requirements.
  • Produce clear and consistent technical documentation using standard organisational templates.
  • Store, manage and distribute in compliance with data security standards and legislation.
  • Explain data and results to different audiences in a way that aids understanding.
  • Review own development needs.
  • Keep up to date with developments in technologies, trends and innovation using a range of sources.
  • Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
  • Operate as part of a multi-functional team.
  • Prioritise within the context of a project.
  • Source and migrate data from already identified different sources.
  • Collect, format and save datasets.
  • Summarise and explain gathered data.
  • Blend data sets from multiple sources and present in format appropriate to the task.
  • Manipulate and link different data sets as required.
  • Use tools and techniques to identify trends and patterns in data.
  • Apply basic statistical methods and algorithms to identify trends and patterns in data.
  • Apply cross checking techniques for identifying faults and data results for data project requirements.
  • Audit data results.
  • Demonstrate the different ways of communicating meaning from data in line with audience requirements.
  • Produce clear and consistent technical documentation using standard organisational templates.
  • Store, manage and distribute in compliance with data security standards and legislation.
  • Explain data and results to different audiences in a way that aids understanding.
  • Review own development needs.
  • Keep up to date with developments in technologies, trends and innovation using a range of sources.
  • Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
  • Operate as part of a multi-functional team.
  • Prioritise within the context of a project.

    • Your training plan

    Data is the backbone of strategic decision-making, and data skills are in high demand across a diverse range of sectors in the UK. Data analytics enables companies to understand market trends, optimise operations, personalise customer experiences, and predict future outcomes.

    Our Junior Data Analyst programme teaches you to transform raw data into compelling visual insights that resonate with both technical and non-technical audiences and drive company growth. We ensure you gain hands-on experience with essential business intelligence tools and develop the skills necessary to manipulate and interpret data efficiently and effectively.

    Through a combination of live training, industry-led masterclasses, personalised learning resources, and additional certifications, we ensure you are confident in each segment of data management, from data collection and storage to advanced analytics and visual storytelling.

    Requirements

    Essential qualifications

    GCSE in:

    • English (grade 4)
    • Maths (grade 4)

    Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.

    Skills

    • Communication skills
    • Organisation skills
    • Problem solving skills
    • Number skills
    • Analytical skills

    About this company

    Meridian Trust, a leading educational trust managing a network of academies, is seeking an enthusiastic Data Apprentice to join our team. At Meridian Trust, we are dedicated to delivering high-quality education to thousands of students, and our commitment to leveraging advanced technology ensures that both students and staff have access to top-tier resources.

    After this apprenticeship

    This apprenticeship provides the skills, qualification and experience you need to immerse yourself within an exciting, fast-moving industry and become an effective Data Analyst.

    Ask a question

    The contact for this apprenticeship is:

    BALTIC TRAINING SERVICES LIMITED

    Miss Katie Allan

    katie.allan@balticapprenticeships.com

    The reference code for this apprenticeship is VAC1000277129.

    Apply now

    Closes in 12 days (Monday 7 October)

    When you apply, you’ll be asked to sign in with a GOV.UK One Login. You can create one at the same time as applying for this apprenticeship.

    After signing in, you’ll apply for this apprenticeship on the company's website.