Top reasons to work for this Client: Basic salary to 55k per annum. Performance Bonus. Flexible hybrid working pattern. Manchester office; Trafford Park. Established, fast paced collaborative Technology Business. Joining at an exciting time of company growth, delivering a data transformation project. Pivotal role, working on internal and client projects, taking ownership of BI Suite. Rewarding blend: design, develop, enhance & maintain business intelligence solutions. Opportunity to impact in an autonomous role in the entire end to end data journey. 25 days holiday BH, contributory pension, cycle scheme, choose your own tech, home office setup support, supporting charity work. Investment on your career development and benefit from 1:1 coaching. Broad Core Responsibilities: Develop, enhance, and maintain interactive data visualisations and dashboards using QuickSight. Define and implement key business metrics, ensuring they align with strategic objectives. Work closely with clients to gather requirements, refine project scopes, and communicate insights effectively. Create and maintain scalable and efficient databases to support analytics needs. Perform exploratory data analysis to uncover trends, anomalies, and actionable insights. Ensure data accuracy, consistency, and integrity across reports and dashboards. Collaborate with other teams to support data-driven decision-making processes. Stay up to date with best practices and emerging technologies in data visualisation and analytics. Expected Qualifications, Skills & Experience: Strong experience with BI tools (ideally AWS QuickSight) Proficiency in SQL for data querying, transformation, and optimisation. Hands-on experience with AWS services such as Redshift, S3, and Athena is highly desirable. Ability to work autonomously, take ownership of projects, and proactively find solutions. Strong analytical and problem-solving skills, with an ability to translate business needs into data solutions. Excellent communication skills and confidence in engaging with stakeholders to define project requirements and present insights. Experience in defining and maintaining data models, ETL pipelines, and databases is a plus.