Data Analyst Apprentice
Chambers and Partners
London (EC4A 2AE)
Closes in 15 days (Friday 25 September 2026)
Posted on 9 September 2026
Contents
Summary
Join Chambers as an Apprentice Data Analyst - a fantastic opportunity to gain hands-on experience in our growing Data team while studying towards an accredited Level 4 Data Analyst Apprenticeship. If you're motivated, detail-oriented and keen to develop your data analysis skills, we'd love to hear from you!
- Wage
-
Competitive
Competitive wage offered
- Training course
- Data analyst (level 4)
- Hours
-
Monday to Friday, 9.00am to 5.30pm.
37 hours 30 minutes a week
- Start date
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Monday 26 October 2026
- 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
You'll analyse data using SQL and Python, build reports and dashboards that give the business clear, actionable insights, and help ensure our data is accurate and reliable - all within an agile team at the world's leading legal rankings and insights intelligence company.
Main Duties and Responsibilities:
-
Write clean, testable queries and scripts using SQL and Python to analyse data and enable our customer data products and business applications
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Build and maintain reports, dashboards and notebooks that provide the business with clear, actionable insights
-
Create, optimise and maintain automated reporting and analysis processes across a given project or technical domain
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Analyse, profile and plan work, aligned with project priorities
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Perform code reviews, refactoring where necessary, and deploy code in a structured, trackable and safe manner
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Document your analyses, data definitions and operational procedures
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Ensure adherence to data and software delivery standards
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Help monitor, investigate and resolve data quality issues when they occur
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Present findings and insights clearly to business and technology stakeholders
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Guide, influence and challenge the technology team and stakeholders on the benefits, pros and cons of different analytical options
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Contribute to the team's continuous improvement and its ability to deliver on commitments
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Innovate and experiment with technology to deliver real business benefits, regularly launching products and services based on your work
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Work within the agile framework at Chambers
Where you'll work
165 Fleet Street
London
EC4A 2AE
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
The exact schedule to be confirmed with the successful applicant
Requirements
Essential qualifications
GCSE in:
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- IT skills
- Attention to detail
- Problem solving skills
- Analytical skills
- Team working
- Creative
- Initiative
- Able to work collaboratively
- Strong interpersonal skills
- A positive can-do attitude
- Ability to follow instructions
- Ability to learn quickly
- Able to work to tight deadline
- Excellent time management
- Accuracy & Efficiency
- Delivery focused and pragmatic
- Awareness of industry/trends
- Familiarity/some exp. with SQL
- Familiarity with Python
- Interest in Data & Tech
Other requirements
Entry Requirements- Essential
As a minimum for this apprenticeship applicants will need to have:
- A Level 3 qualification (apprenticeship/A-levels/BTEC, etc)
OR
- Equivalent work experience (typically two years in a relevant role)
PLUS:
- 5 GCSEs, including English and Maths at Grade 4 (C) or above
- Experience with using Excel (in particular pivot tables and XLookup) and Microsoft products (or similar)
Other requirements - Desirable
- Experience or interest in media, publishing, research or a similar consumer-focused industry
About this employer
Chambers is the leading legal data and intelligence partner for lawyers, firms, and in-house teams.
We conduct over 350,000 research interviews and surveys with in-house counsel every year, and receive 62,000 submissions from 9,000 firms worldwide, giving us unrivalled insight into the legal sector.
This research powers Chambers Rankings - the definitive guide to the best legal talent - and our Intelligence, which delivers the insights helping firms and in-house teams to succeed.
Our independent, rigorous research identifies the exceptional and charts the path to success, enabling legal professionals to see with clarity, decide with confidence, and plan with ambition.
https://chambers.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
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
Typical job titles following the completion of this course:
- Data Analyst
Ask a question
The contact for this apprenticeship is:
QA LIMITED
The reference code for this apprenticeship is VAC2000052558.
Apply now
Closes in 15 days (Friday 25 September 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.