MI Analyst

Role: MI AnalystLocation: London- a hybrid working environment is required to be onsite at the location above for 2 days per weekKey Essential Skills:5 years of experience with Tableau Desktop building Dashboards to a nominated spec,Background working in an insurance or regulatory environment Proficiency in writing complex SQL queries.Experience with migration of static reporting into dynamic Tableau dashboards.Be able to demonstrate engagement in the Tableau Community via an active Tableau Public profile.Experience in application and desktop migrations, particularly within a Citrix environmentStrong knowledge of business analysis tools and techniques, such as user stories, use cases, wireframes, UML, BPMN, etc.Desirable Skills:Prior experience with Snowflake is preferred Experience in working with agile methodologies, such as Scrum and KanbanExcellent communication, presentation, and facilitation skillsGood attention to detail, diligence, and ability to deliver high-quality results within tight deadlines.Must be able to work independently and proactively in a fast-paced and dynamic environmentOverview: We are looking for an MI Analyst who has core experience working with Tableau desktop (essential) and server (preferrable) and SQL experience. Prior experience with Snowflake is preferred but not required. The MI analyst will be a self-starter, will have excellent communication skills and be comfortable working directly with stakeholders. The MI analyst will be solely assigned to the London Market MI team working on BAU tickets raised by functional teams for a short 6 month engagement. Role & Responsibilities:Support the MI Team Lead in constructing a backlog and roadmap (user stories/technical requirements)Develop and maintain complex SQL queries to extract and analyse data from various databases.Facilitate internal and external stakeholder workshops, building a valuable relationship with our end-user communityBe an integral part of the squad and drive the delivery of Tableau ReportsBuild Dashboards according to both Visualisation and Tableau Best PracticesBe an advocate of data visualisation and have a detailed understanding of Visualisation best practice.Consume and understand complex specifications and turn these into valuable product driven outputsAnalyse issues with reports and data discrepancies to drive root cause analysisCollaborate with engineers, testers, and other team members to ensure quality and timely deliveryCommunicate effectively with all levels of stakeholders, both verbally and in writing