Analytics Engineer

Analytics Engineer - Permanent - £49230 - £54700 per annum - London/ Hybrid

The Role

We are working with a Membership organisation in London. The role is working within their Data and AI team at an exciting stage of their data transformation journey. Having recently implemented their first enterprise Data Platform, They are looking for an Analytics Engineer to help shape the next phase of their 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, youll transform complex data into well-governed, reusable analytical models that power reporting tools such as Power BI. Youll 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 youll have the chance to influence best practice, work with modern technologies and contribute to the continued evolution of our data platform.

What were looking for
Were looking for someone with a passion for data and analytics who can bridge technical expertise with business needs. You will have:
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.
An understanding of data governance, data lineage and data quality principles.
The ability to work collaboratively with stakeholders to translate business requirements into practical data solutions.
A proactive, collaborative approach with a commitment to continuous improvement.
Desirable skills include:
Experience using Git and Python.
Experience working within Agile delivery environments.
Relevant cloud or data certifications.