Data Analyst Apprenticeship

Summary

Are you passionate about numbers, trends, and solving problems? Do you want to kick-start your career in data analysis and business intelligence within a dynamic and supportive environment? If so, we have an exciting opportunity for you!

Wage

£19,250 a year

Minimum wage rates (opens in new tab)

22 days of annual leave plus Bank Holidays! A beautiful rurally located office. You will be working hybrid in this role, 4 days from home and 1 day in the office per week.

Training course

Data technician (level 3)

Hours

Monday to Friday, 9.00am - 5:30pm.

40 hours a week

Possible start date

Monday 17 March

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

Perform detailed customer research, understanding typical behaviours and characteristics.
Complete market research using business databases, LinkedIn, Companies House, to identify potential new clients.
Inputting and Tracking sales data.
Use HubSpot CRM, Amazon Seller Central and Vendor Central.
Creating reports for Internal and External Stakeholders.
Utilise Microsoft Excel to complete data analysis.

Where you’ll work

ROSEMARY

RECTORY HILL

EAST BERGHOLT

COLCHESTER

CO7 6TH

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

Your training will be delivered in 2-day blocks every 4 weeks, this will be in our online classrooms. Supported by a Specialist Coach from Baltic Apprenticeships.

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

Attention to detail
Eager to learn and develop
An analytical mindset

About this company

As a Data & Business Insights Apprentice at Sell Beyond, you will play a key role in helping our team transform data into actionable insights. Through hands-on training and mentoring, you'll learn to work with cutting-edge tools and techniques to analyse business performance, forecast trends, and support strategic decision-making. In this role you will have a fantastic work life balance, working hybrid with 4 days from home and 1 day in the office per week.

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

Oliver Jackson

The reference code for this apprenticeship is VAC1000305234.

Apply now

Closes in 15 days (Monday 10 March)

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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