Apprentice Data Analyst

Summary

Kickstart your career at Balfour Beatty, where you’ll receive structured training and a formal qualification. Alongside a great salary and benefits package, you'll gain invaluable experience and skills that pave the way for exciting opportunities and career progression. This is more than just a job—it's a pathway to a promising future.

Annual wage: Competitive
Minimum wage rates (opens in new tab)
Training course: Data analyst (level 4)
Hours: Monday to Friday 9am to 6pm
37 hours a week
Possible start date: Monday 1 September
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

An Apprentice Data Analyst is like being a detective for numbers You’ll

collect,
analyse, and
interpret data

to help the business make informed decisions. You’ll learn how to use data analysis tools and techniques to uncover valuable information.

Where you’ll work

The Broyle

Ringmer

Lewes

East Sussex

BN8 5NP

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 analyst (level 4)

Equal to higher national certificate (HNC)

Course contents

Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
implement the stages of the data analysis lifecycle
apply principles of data classification within data analysis activity
analyse data sets taking account of different data structures and database designs
assess the impact on user experience and domain context on data analysis activity
identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
undertake customer requirements analysis and implement findings in data analytics planning and outputs
identify data sources and the risks and challenges to combination within data analysis activity
apply organizational architecture requirements to data analysis activities
apply statistical methodologies to data analysis tasks
apply predictive analytics in the collation and use of data
collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
select and apply the most appropriate data tools to achieve the optimum outcome
Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
implement the stages of the data analysis lifecycle
apply principles of data classification within data analysis activity
analyse data sets taking account of different data structures and database designs
assess the impact on user experience and domain context on data analysis activity
identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
undertake customer requirements analysis and implement findings in data analytics planning and outputs
identify data sources and the risks and challenges to combination within data analysis activity
apply organizational architecture requirements to data analysis activities
apply statistical methodologies to data analysis tasks
apply predictive analytics in the collation and use of data
collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
select and apply the most appropriate data tools to achieve the optimum outcome

Your training plan

This training plan has not been finalised. Check with this employer if you’ll need to travel to a college or training location for this apprenticeship.

Requirements

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
Analytical skills
Team working

Other requirements

For our Level 4 Apprenticeship, you’ll need A Levels or equivalent, typically 2 A Levels. This programme is designed for those looking to step into higher-level roles that demand specialised knowledge and increased responsibility.

About this company

We are Balfour Beatty, you may not know us by name but you definitely will have seen what we do. We are one of the UK’s largest construction companies building iconic buildings and structures that will last for generations to come.

https://www.balfourbeatty.com/ (opens in new tab)

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

Data Analyst

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