2 of 2 Permanent Data Structures Jobs in East Sussex

a digital insurance provider with ambitious plans to become The Best and Biggest in the UK market. Over the past few years, we've made significant investments in our data and tech capabilities, particularly within our CIO function. Our CIO team is at the forefront of driving innovation and ensuring our technology infrastructure supports our ambitious goals. We've … and contribute to our success. We're looking for an inquisitive and technically strong Senior Business Analyst to join our Business Analysis community, with a particular focus on Guidewire data integration and delivery. This role is ideal for someone who thrives understanding how things work under the hood and then explaining it in a way that others get. You … will champion a data driven culture by asking the right questions and challenging assumptions, becoming the go-to expert on the Guidewire data model for the data engineering teams. What you'll be doing: - Completing the end-to-end analysis and documentation of business requirements, with a strong emphasis on Guidewire data structures and integration More ❯

A leading business technology provider is undergoing a major enterprise-wide transformation - and they're looking for a Senior Business Analyst to help shape the future of their data and technology landscape. The role is remote, and is therefore open to candidates across the UK, with infrequent travel to their Head Office near Brighton around once per month (expenses … covered). This is a new role, with a primary focus on a major data transformation project. The aim is to transition the business from its current landscape of bespoke, custom-built systems to more modern, streamlined solutions - such as the implementation of ServiceNow and a new Snowflake Data Warehouse. Due to the technical nature of the role … a strong understanding of data structures and data modelling is key, and hands-on skills in SQL would be a real advantage. Key responsibilities will include: Leading impact assessments of proposed data model changes across a complex systems landscape Analysing dependencies between legacy in-house systems and new platforms Conducting detailed data mapping and collaborating More ❯