Data Analyst Apprentice

Location: Warwickshire

Overview 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. 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.

If you're motivated, detail-oriented and keen to develop your data analysis skills, we'd love to hear from you. 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 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 Analyse, profile and plan work, aligned with project priorities Perform code reviews, refactoring where necessary, and deploy code in a structured, trackable and safe manner Document your analyses, data definitions and operational procedures Ensure adherence to data and software delivery standards Help monitor, investigate and resolve data quality issues when they occur Present findings and insights clearly to business and technology stakeholders Guide, influence and challenge the technology team and stakeholders on the benefits, pros and cons of different analytical options Contribute to the team's continuous improvement and its ability to deliver on commitments Innovate and experiment with technology to deliver real business benefits, regularly launching products and services based on your work Work within the agile framework at Chambers Why you should apply This is a rare chance to earn while you learn - you'll gain an accredited Level 4 Data Analyst qualification while doing real, hands-on work from day one, not making the tea.

You'll join a growing Data team at a pivotal moment:
Chambers is transforming from the gold standard in legal rankings into a data-led digital products business, and the work you do will ship in real products used by the world's leading law firms. You'll learn a modern data stack - SQL, Python, Power BI and Databricks on cloud platforms - working alongside experienced data engineers, data scientists and AI engineers who will invest in your development.

And you'll do it in a supportive, genuinely inclusive environment: hybrid working from our London office, a culture that encourages experimentation, and a business that champions talent - it's literally what we do. If you're curious, detail-oriented and ready to launch a career in data, we'd love to hear from you. Skills, Experience & Personal Attributes Standard entry requirements 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) Personal attributes Keen to learn, with a proactive, self-starter attitude Strong attention to detail - focused on the finer details that make the difference Able to communicate clearly with business and technology colleagues Delivery-focused and pragmatic, motivated to get solutions live Able to build strong working relationships and trust Interest in data, technology and industry trends Experience or interest in media, publishing, research or a similar consumer-focused industry (desirable) Equal Opportunity Statement We are committed to fostering and promoting an inclusive professional environment for all of our employees, and we are proud to be an equal opportunity employer.

Diversity and inclusion are integral values of Chambers and Partners and are key in our culture. We are committed to providing equal employment opportunities for all qualified individuals regardless of age, disability, race, sex, sexual orientation, gender reassignment, religion or belief,…