Data Analyst Apprenticeship Programme 2025 - London

LEGAL AND GENERAL ASSURANCE SOCIETY LIMITED

One Coleman Street London (EC2R 5AA)

Closes in 26 days (Friday 11 July 2025)

Posted on 13 June 2025

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Summary

You will be joining us on an 20-month programme focused on developing your data skills and business acumen. You will be working towards your Data Analyst (level 4) qualification. You will have the chance to learn through live interactive workshops lead by Data Scientists, via tailored online learning. You will also have a dedicated Data Mentor.

Wage

£25,000 a year

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Training course
Data analyst (level 4)
Hours
Monday - Friday, 9.00am - 5.00pm. Not shifts.

35 hours a week

Start date

Monday 8 September 2025

Duration

1 year 8 months

Positions available

4

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you'll do at work

  • Develop your skills in data analysis, coding and data visualisation software
  • Work with business stakeholders to design and deliver analytical solutions and reports
  • Work with other data professionals including and business stakeholders to automate and productionise outputs
  • Communicate with stakeholders in a non-technical manner, providing advice, understanding and insight
  • Collaborate with individuals across LGIM
  • Have guidance from your team and manager who will support you and teach you the day-to-day role
  • Apply the knowledge and skills that you’ve learnt from your training into the role
  • Have the opportunity to meet and network with new colleagues within your team, but also across the wider organisation
  • Learn through live interactive workshops lead by Data Scientists and via highly tailored online learning and practice

Where you'll work

One Coleman Street London
EC2R 5AA

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

College or training organisation

DECODED LIMITED

Your training course

Data analyst (level 4)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

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

Join us on an 20-month programme which includes sponsorship to study for an industry recognised Level 4 Data Analyst Qualification, whilst building your business acumen.

You’ll receive on the job training and coaching from your line manager.  Alongside this you’ll complete training workshops and assignments, delivered by a leading apprenticeship training provider. Combined, these will fully equip you to be successful in your role, with the knowledge and skills required to apply to real world business challenges.

Requirements

Essential qualifications

GCSE or equivalent in:

  • English (grade 4)
  • Maths (grade 4)

A Level or equivalent in:

3 in any subject (grade C or above(Avg 96 UCAS points))

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
  • IT skills
  • Attention to detail
  • Organisation skills
  • Problem solving skills
  • Number skills
  • Analytical skills
  • Logical
  • Team working

Other requirements

Please note we are unable to accept candidate who have qualifications in or closely related to data (apprenticeship, higher education) or those with degrees.

About this company

Established in 1836, we are a leading financial services group and major global investor, safeguarding people's financial futures around the world.

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

Disability Confident

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

Post completion of the apprentice there is a possibility of continued, permanent employment with Legal & General with further opportunties to develop your skillset and career within data.

Ask a question

The contact for this apprenticeship is:

LEGAL AND GENERAL ASSURANCE SOCIETY LIMITED

Andrew Challis

andrew.challis@landg.com

02031243782

The reference code for this apprenticeship is VAC1000325908.

Apply now

Closes in 26 days (Friday 11 July 2025)

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.