Master Data Apprentice

Summary

Are you highly analytical, detail-oriented, and passionate about working with data? Do you enjoy spotting patterns, ensuring accuracy, and contributing to well-informed decision-making? If so, a career in Master Data could be for you! Our Master Data team ensures the accuracy and integrity of the data that underpins financial decision-making.

Wage

£20,820 a year

Minimum wage rates (opens in new tab)

Structured annual Salary Increases rises throughout the apprenticeship rising to the department banding on qualifying.

Training course

Data technician (level 3)

Hours

Monday to Friday 9am to 5pm, with an hours lunch 1 day a week will be allocated to college leave (day to be confirmed)

36 hours a week

Possible start date

Sunday 20 April

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

As an apprentice, you will receive on-the-job training combined with classroom-based learning while working towards your Level 3 Apprenticeship.

Your responsibilities will include:

Collecting, maintaining, and ensuring the accuracy of business data
Using various systems, including SAP, to manage requests and process updates
Managing your workload and responding to Master Data-related queries
Processing business requests to create and update data while ensuring quality and consistency
Collaborating with internal teams to enhance data management processes

Where you’ll work

Saint Gobain

East Leake,

Loughborough,

LE12 6JU

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

KAPLAN FINANCIAL 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

There will be one day a week college leave

More training information

Kaplan will support the learning within the apprenticeship programme, and have a range of online and face to face study options to suit the candidate

Requirements

Essential qualifications

GCSE in:

Maths (grade 5)

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
Attention to detail
Organisation skills
Problem solving skills
Analytical skills
Logical
Team working

About this company

Saint Gobain Professional Services are part of Saint-Gobain UK & Ireland who are worldwide leaders in sustainable construction.

Company benefits

• Enhanced Holiday entitlement • Pension with employer contributions • Life Assurance • Subsidised Canteens • Free car parking • Hybrid working • Access to Bubble – Saint-Gobain employee benefits platform

Disability Confident

A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.

You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.

After this apprenticeship

A career progression in finance with a focus on master data might involve roles such as financial analyst, senior financial analyst, Master Data Manager or other positions within the wider Shared Service Centre

Ask a question

The contact for this apprenticeship is:

SAINT-GOBAIN LIMITED

Fiona Townsend

fiona.townsend@saint-gobain.com

The reference code for this apprenticeship is VAC1000300629.

Apply now

Closes in 25 days (Thursday 20 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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