About this role
Salary: £35,000 - 40,000 per year
Requirements: Previous experience in a Data Analyst or similar roleStrong SQL skills and experience working with large datasetsGood working knowledge of PythonExperience building ETL processes using AWS Glue or equivalent technologiesExperience with Power BI or other modern data visualisation toolsStrong analytical and problem-solving capabilitiesExcellent stakeholder engagement and communication skillsExperience working with GitHub or other version control platformsAbility to work independently while collaborating effectively in a team environment Responsibilities: Developing and enhancing a cloud-based Data Warehouse using SQLDesigning and maintaining ETL pipelines using AWS Glue and related technologiesBuilding impactful dashboards and visualisations in Power BIPartnering with stakeholders across the business to understand reporting and analytical requirementsAnalysing large, complex datasets to uncover trends, opportunities and insightsEnsuring data quality, accuracy and governance standards are maintainedCreating clear documentation for data processes and solutionsKeeping ahead of emerging tools, technologies and best practices in analytics and data engineering Technologies: AWSAWS GlueRedshiftCloudData WarehouseETLGitHubPower BIPythonSQL More:
We are joining an organisation investing heavily in its data and analytics capabilities, with ambitious plans to rebuild and modernise its data warehouse in the cloud, integrate a sophisticated Customer Data Platform, expand self-service analytics capabilities, deliver innovative reporting and insights across the business, and establish a scalable, future-ready data ecosystem. This role offers the chance to influence that journey from the ground up while developing highly sought-after cloud and analytics skills, working with technologies including AWS, Redshift, Power BI, SQL, and Python.
last updated 37 week of 2026