Data Technician Apprentice

Summary

We are seeking a motivated and detail-orientated Apprentice Data Technician to join our dynamic team. This entry-level role is an excellent opportunity for someone looking to start a career in data management and technology. You will gain some hands-on experience in a wide variety of areas including various aspects of data technology.

Annual wage

£17,550 a year

Minimum wage rates (opens in new tab)

Flex benefits of £50 pcm

Training course

Data technician (level 3)

Hours

Monday to Friday 37.5 hours per week. Shifts tbc.

37 hours a week

Possible start date

Monday 28 October

Duration

2 Years

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

CRM Database Management and weekly auditing
Supported AI implementation
Data analysis and reporting to leadership team
Business intelligence (BI) implementation support
Cybersecurity monitoring and reporting
L&D YouTube platform management
User management/administration of software and tool

Where you’ll work

1 VICTORIA STREET

BRISTOL

BS1 6AA

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

CITY OF BRISTOL COLLEGE

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

Training and Qualification Level:

What training will the apprentice take and what qualification will the apprentice get at the end?

· Data Technician Level 3

· Source, format and present data securely in a relevant way for analysis.

· City of Bristol College

· Off site in its entirety

Requirements

Essential qualifications

GCSE in:

Maths and English (grade 5/4)

Desirable qualifications

GCSE in:

IT (grade 5/4)

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

IT skills
Attention to detail
Organisation skills
Analytical skills
Basic Data Analysis

Other requirements

Dress down Strong flexi benefit package 25 days holiday 1 late start and long lunch per week post probation Flexible working post probation

About this company

We are a tech recruitment business who prioritise people over profit. Inspired by a book by Dale Partridge "People Over Profit", SR2 Socially Responsibility Recruitment was born. The mission to create a company that puts people over profit and operates with transparency, honesty, integrity and accountability. To be truly Responsible. Put simply, we are a recruitment company covering the Tech, Digital and Engineering markets in the UK, Germany and USA. We've donated over £250,000 and 1400+ hours of volunteering in the first five years of business and we want to give even more.

After this apprenticeship

Full time employment
Further training where necessary

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