Data Analyst Apprenticeship

Summary

Join Gardner Systems as a Level 3 Data Apprentice and kick-start your career in data analytics within a dynamic and supportive environment. In this role, you’ll gain hands-on experience working with data management, analysis, and reporting tools, contributing directly to data-driven decision-making across various projects.

Annual wage: £15,000 a year
Minimum wage rates (opens in new tab)
Training course: Data technician (level 3)
Hours: Monday - Friday - 9am - 5:30pm
37 hours a week
Possible start date: Tuesday 24 December
Duration: 1 year 3 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

· Reporting and extracting data through Xero

· Analysing reports, losses, productivity and financial gain through Xero

· Reporting and utilising excel through techniques such as pivot tables, filters, averages etc

· Support the business through inputting and analysing data

· Communicating finding internally and externally

Full training and support will be provided by your workplace mentor and from the Baltic team.

Where you’ll work

1 Mann Island

Avenue HQ - Mann Island

Liverpool

L3 1BP

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

https://www.balticapprenticeships.com/programmes/data-and-business-insights/?apprentice=1

More training information

L3 Data technician Apprenticeship Standard

Requirements

Essential qualifications

GCSE in:

English (grade C)
Maths (grade C)

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
Number skills
Analytical skills
Logical
Team working
Initiative
Patience

About this company

Join Gardner Systems as a Level 3 Data Apprentice and kick-start your career in data analytics within a dynamic and supportive environment. In this role, you’ll gain hands-on experience working with data management, analysis, and reporting tools, contributing directly to data-driven decision-making across various projects. This apprenticeship is designed to develop your technical skills in data collection, cleansing, and visualisation, while providing a solid foundation in analytical methodologies. If you're passionate about uncovering insights from data and eager to develop your skills within a collaborative team, we encourage you to apply.

After this apprenticeship

Potential for a full time job role upon completion

Ask a question

The contact for this apprenticeship is:

BALTIC TRAINING SERVICES LIMITED

Lucy Oliphant

lucy.oliphant@balticapprenticeships.com

The reference code for this apprenticeship is VAC1000287542.

Apply now

Closes on Monday 23 December

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.

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