Data Analyst

2 months ago


London, Greater London, United Kingdom Chapman Tate Associates Full time
Job Title: Data Analyst - Finance Expert

Chapman Tate Associates is seeking a highly skilled Data Analyst to join our team in the insurance sector. As a Data Analyst, you will play a pivotal role in working closely with Finance leads, sponsors, and stakeholders to drive impactful change.

Key Responsibilities:
  • Collaborate with Finance stakeholders to understand business requirements, capabilities, and processes.
  • Use analysis tools to streamline data processes and develop dashboards and heatmaps for key reporting.
  • Represent Finance to ensure that solutions and deliverables meet requirements.
  • Analyse large volumes of financial data from multiple sources, ensuring accuracy and highlighting discrepancies.
  • Communicate data analysis findings to IT Developers and Business Analysts to facilitate the development of Finance data solutions and remediation of defects.
  • Assess existing finance data requirements and ensure new solutions enhance data application within Finance.
  • Support the end-to-end delivery of user stories, coordinating with onshore and offshore teams.
  • Create clear, concise deliverables to ensure project objectives are understood and met.
  • Share knowledge and experience to drive team progress.
  • Establish effective communication and collaboration across Finance impacted areas and stakeholders.
  • Assist in documenting new processes and training materials to support readiness activities.
  • Provide support in testing and readiness efforts.
Essential Skills and Experience:
  • Demonstrable experience in Finance Change Data Analysis within the Insurance sector.
  • Proven experience in General Insurance, preferably within Specialty Commercial and London Markets.
  • Strong experience working with Power BI.
  • Building dashboards visualising finance data.
  • Advanced Excel skills (including PowerPivots) and Power BI configuration skills.
  • Understanding of Finance-focused data models and conceptual data modelling techniques.
  • SQL experience.
  • Comprehensive understanding of the end-to-end policy journey and Finance & Insurance business capability model.
  • Excellent documentation skills, with experience creating business-level definitions in diagrams and written form.
  • Experience with data quality frameworks, assessing data quality, and identifying defects.
  • Proven experience in process analysis, reporting, migration projects, and documenting process flows.
  • Experience in gathering requirements, developing new ways of working, and producing training materials.

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