Location
London

Hours
Full Time

Salary
£54,700 per annum

About the Role
Join the Law Society's Data and AI team at an exciting stage of our data transformation journey. Having recently implemented our first enterprise Data Platform, we're looking for an Analytics Engineer to help shape the next phase of our data and analytics capability. In this role, you will design, build and maintain trusted data models and analytics products that enable reporting, generate valuable insights and support informed decision-making across the organisation. Working closely with data engineers, analysts and business stakeholders, you'll transform complex data into well-governed, reusable analytical models that power reporting tools such as Power BI. You'll also play a key role in improving data quality, enhancing data accessibility and ensuring colleagues can confidently find, trust and use data to drive business outcomes. This is an excellent opportunity to join a knowledgeable and growing Data and AI team where you'll have the chance to influence best practice, work with modern technologies and contribute to the continued evolution of our data platform.

What we offer
This is an exciting opportunity to join a respected membership organisation with a strong reputation for excellence and legal expertise. You'll work alongside talented colleagues who are passionate about using data to deliver meaningful impact across the organisation. At the Law Society, we're committed to fostering an inclusive workplace where equality, diversity and inclusion are valued, and where our culture is built on trust, clarity, excellence and respect. We offer hybrid working, a generous and flexible benefits package, a supportive and collaborative working environment, and excellent opportunities for learning, development and career progression.

Experience
Strong SQL skills and experience designing reliable, scalable and maintainable data models optimised for BI tools such as Power BI. Experience developing reports, dashboards and semantic models using Power BI or similar analytics platforms. Knowledge of modern cloud data technologies such as Databricks, Snowflake or Azure Data Factory. Understanding of data governance, data lineage and data quality principles. Experience working collaboratively with stakeholders to translate business requirements into practical data solutions.

About you
A proactive, collaborative individual with a passion for data and analytics who can bridge technical expertise with business needs. Commitment to continuous improvement and working effectively within a team environment.

Desirable Skills
Experience using Git and Python. Experience working within Agile delivery environments. Relevant cloud or data certifications.