Data Analyst Apprentice
HEIRLOOM FAIR LEGAL LTD
London (N1C 4AX)
Closes in 27 days (Monday 15 September 2025)
Posted on 18 August 2025
Contents
Summary
You'll support our team with modelling, forecasting, and analysis as we grow and refine our operations. This is a hands-on opportunity to gain practical experience in financial structuring and modelling, particularly in the context of litigation funding and insurance-related financial products.
- Wage
-
£26,000 a year
- Training course
- Data analyst (level 4)
- Hours
-
Monday to Friday, 9am - 6pm.
40 hours a week
- Start date
-
Monday 22 September 2025
- Duration
-
1 year 6 months
- Positions available
-
1
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
- Assist in building and refining financial models for business planning and investment analysis
- Support scenario analysis and sensitivity testing across SPV and business unit performance
- Help prepare monthly reports, financial forecasts and rolling budgets
- Conduct market and benchmark research to support financial assumptions
- Work in Excel and, where appropriate, tools such as Google Sheets, Power BI or Python for finance
- Collaborate with legal and operations teams to understand cost drivers and funding models
- Document models with clear assumptions and methodologies
Where you'll work
East Side, Kings Cross Station
Kings Cross
London
N1C 4AX
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
QA LIMITED
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
Training schedule
Why choose our Data Analyst apprenticeship?
QA's Data Analyst Level 4 apprenticeship develops the skills needed to collect, organise and study data to provide valuable business insight.
The principles of data analytics are being applied across just about every industry. Using past-event data, analysts are making important insight-based business decisions and driving customer value across every team and function, including operations, finance, sales and marketing.
At QA we have deep-rooted expertise in Data, Analytics and AI. Our solutions transform the way that individuals use data and enable organisations to make more data-driven business decisions.
QA's Data Analyst Level 4 apprenticeship programme enables your organisation to:
- Build the skills and capabilities you need throughout your organisation to analyse, interrogate and present technical data, providing informed and valuable business insights to a range of stakeholders.
- Upskill or reskill your existing workforce with data skills and create analysts for the modern day workplace.
- Recruit and harness a new talent pathway: QA can help you cost-effectively recruit diverse, ambitious talent into your business and help you build a pipeline of data literacy talent.
Delivered by industry experts with real-world experience, the programme’s content has been designed around real-life skills and includes the additional PL-300 Microsoft Power BI Data Analyst certification (see below). The technical content aligns to and is relevant to employers and the market.
Upon successful completion, learners will be awarded the Data Analyst Level 4 apprenticeship.
Tools and technologies learned:
Learners will learn to use visualisation tools such as (PowerBI, Tableau), SQL Server, SSIS, Python and R programming languages, and Cloud Technologies such as: Azure, AWS, GCP.
Requirements
Essential qualifications
GCSE in:
Desirable qualifications
A Level in:
BTEC in:
Other in:
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Attention to detail
- Problem solving skills
About this employer
Heirloom Fair Legal is a provider of legal financing focused on UK individual and small business consumer protection claims. We use data and technology to bring efficiency, quality, and risk mitigation to legal finance operations. Backed by a family office and a strong internal capital base, our team has over 20 years of experience in legal, technology, and finance.
Company benefits
• Private medical. • Dental cash plan. • Life insurance. • Salary sacrifice schemes. • Pension (3% company contribution).
After this apprenticeship
Potential for a permanent position following the successful completion of your apprenticeship.
Ask a question
The contact for this apprenticeship is:
QA LIMITED
The reference code for this apprenticeship is VAC1000337737.
Apply now
Closes in 27 days (Monday 15 September 2025)
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