Data Analyst Apprentice

I V M LTD

WILLINGTON, DL15 0UT

Closes in 27 days (Wednesday 27 November)

Posted on 30 October 2024


Summary

You will have the opportunity to gain valuable skills, knowledge and experience as you complete a Data Technician - Level 3 Apprenticeship. Duties will include Assist in maintaining and updating data within the EMAX system, ensuring accuracy and integrity.

Annual wage
£16,500 a year

Minimum wage rates (opens in new tab)

Training course
Data technician (level 3)
Hours
All details will be confirmed at interview.

37 hours a week

Possible start date

Monday 2 December

Duration

1 year 4 months

Positions available

1

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

  • Support data analysis and reporting activities to help drive business insights.
  • Monitor and resolve data discrepancies, ensuring data consistency.
  • Collaborate with various teams to understand data requirements and deliver solutions.
  • Learn to create and maintain data dashboards, providing visibility into key metrics.
  • Assist with data migration projects and support the implementation of new features in EMAX.
  • Provide basic technical support and training to users of the EMAX system.

Where you’ll work

UNITS 3 & 4

HARVEY COURT

LOW WILLINGTON INDUSTRIAL ESTATE

WILLINGTON

DL15 0UT

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

QA 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

    Why choose our Microsoft Data Essentials apprenticeship?

    QA’s Microsoft Data Essentials Level 3 apprenticeship can support your business to be more productive with data and adapt to a modern-day workplace. Data available to organisations is increasing at scale. How your business leverages it is essential to successful transformation and continued growth.

    QA's Microsoft Data Essentials Level 3 apprentice will learn to:

    • Source, format and present data securely, using Microsoft Excel, Power BI and SQL
    • Analyse structured and unstructured data to support business outcomes
    • Blend data from multiple sources as directed
    • Communicate outcomes appropriate to the audience
    • Apply legal and ethical principles when manipulating data

    QA’s Microsoft Data Essential Level 3 apprenticeship programme enables your organisation to:

    • Build the capabilities you need throughout your organisation to collect, study, organise and present data, increasing digital adoption and the provision of intelligent and valuable business insights
    • Create and develop analysts for the modern workplace by reskilling your existing talent, or hiring new entry-level talent. QA’s programmes, partnerships and recruitment capability enable us to tailor a solution that works for your business
    • Provide training that acts as a standalone solution or as part of a wider academy/programme to an array of business functions

    Tools and technologies learned: Apprentices will learn to use Microsoft Power BI, Excel and SQL Azure.

    Requirements

    Essential qualifications

    GCSE in:

    • any 3 subjects (grade 4+ (A*-C))
    • English & Maths (grade 3+ (D or above))

    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

    • Attention to detail
    • Organisation skills
    • Team working
    • Non judgemental

    About this company

    IVM Ltd is a dynamic and innovative company, dedicated to providing cutting-edge solutions to our clients. We are looking for a motivated Data Apprentice to join our team and support our data operations, focusing on our core system, EMAX.

    Company benefits

    A structured Level 3 Data Apprenticeship with dedicated training and mentoring. Hands-on experience working with the EMAX system. Opportunity to develop valuable skills in data analysis, reporting, and system management.

    After this apprenticeship

    90% of QA Apprentices secure permanent employment after finishing their apprenticeship. Additionally, there may be opportunities to undertake further apprenticeship training as many of our programs offer on-going development tracks. 

    Ask a question

    The contact for this apprenticeship is:

    QA LIMITED

    The reference code for this apprenticeship is VAC1000284908.

    Apply now

    Closes in 27 days (Wednesday 27 November)

    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.