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Senior Finance Data Analyst

  • Location City of London, London
  • Reference BBBH92579

Senior Finance Data Analyst / Insurance / Reinsurance / Data / London / Permanent

Our client a London market insurer has a requirement for a Senior Finance Data Analyst to work with the business and IT to deliver emerging requirements to support and enhance Financial, Regulatory, Actuarial and Data reporting across the organisation. You will assist the Data Services Manager to streamline existing data-driven processes and introduce formalised processes where appropriate.

Key Responsibilities

  • Work with the business to understand and capture emerging requirements
  • Translate business requirements into language and specifications required for IT development
  • Liaise with IT to ensure delivery is on track, providing support and analysis when appropriate
  • Coordinate and assist with the testing of solutions, providing feedback and evidence in accordance with IT practices
  • Ensure issues and bugs are raised and recorded in sufficient detail to be troubleshooted and resolved - Assist with troubleshooting of issues to expedite delivery of urgent items
  • Ensure progress, blockers and potential issues are reported to the Data Services Manager in a timely manner

Skills and Experience

  • Re/insurance highly desirable
  • Expert in data analysis, reconciliation and testing methodologies
  • Re/insurance highly desirable
  • Expert in data modelling
  • Expert in T-SQL, preferably with experience using Microsoft SQL Server BI stack
  • Experience delivering and working with data solutions for financial ledger systems and data warehouses
  • Knowledge of P&L, Balance Sheet and other Financial processes
  • Self-starter with high initiative and experience leading projects and driving requirements to delivery
  • Collaborates effectively with other teams and individuals.
  • Communicates well at all levels across business-focused, technical and support departments
  • Proven ability managing complex workloads to challenging timeframes
  • Knowledge of Agile methodologies, data modelling