IT Insurance Business Analyst

Role: IT Insurance Business Analyst (Project Manager) Duration: 6 months + possibility of extension Location: Hybrid London, UK (2 days onsite per week) B2B Contract / Freelance / Contract We are seeking a Senior IT Business Analyst to join a high-impact Data & Analytics team supporting strategic initiatives for a costumer in the Insurance sector. This role sits at the intersection of business and technology, driving the successful delivery of data-driven solutions, including modern data platforms, ETL pipelines, and business intelligence reporting. Key Responsibilities • Collect and formalize business requirements for the implementation of Data & Analytics projects with ETL and Data Visualization tools • Collaborate closely with Data Engineers to translate business needs into scalable technical solutions • Design and execute test strategies, including building test books and validating solutions against business requirements • Act as Project Manager for smaller initiatives and PMO for larger, more complex programmes • Support the Data & Analytics technical leader in the implementation of a new Data Platform based on MS Fabric • Ensure alignment between stakeholders, technical teams, and business objectives • Drive continuous improvement in data processes, reporting, and analytics capabilities Skills Must have • 5+ years of experience as an IT Business Analyst within the Insurance industry • Strong understanding of the insurance lifecycle (policy, underwriting, claims, etc.) • Proven experience working on Data & Analytics projects (ETL, reporting, dashboards) • 5+ years of experience in Project Management / PMO, including planning and tracking delivery • Solid SQL skills for data analysis and validation • Experience working in cross-functional teams with Data Engineers and technical stakeholders • Strong analytical thinking, proactivity, and problem-solving capabilities Nice to have • Working experience in Commercial insurance or ReInsurance • Knowledge of Microsoft Fabric data platform • Knowledge of ETL tools such as Alteryx or Microsoft Data Factory • Knowledge of Data Visualization tools such as Microsoft Power BI or Tableau