Business Data Analyst (Binder & Bordereaux)- London

FDM is a global business and technology consultancy seeking a Business Data Analyst (Binder & Bordereaux) to work for our client within the Insurance sector. This is initially a 2 month contract with very good prospects to extend and will be a hybrid role that will be based in London.

We are seeking an experienced Business Data Analyst to support a strategic data partnership initiative focused on binder and bordereaux data.

The successful candidate will work closely with business stakeholders and data delivery teams to understand business processes, analyse data and translate reporting, data and analytics needs into clearly defined requirements. The role will support the end-to-end delivery of data products and analytics solutions, from initial discovery and requirements gathering through to testing, implementation and adoption.

This role requires strong London Market, Commercial Insurance or Specialty Insurance experience, alongside a sound understanding of delegated authority and bordereaux processes.

Responsibilities:

• Engage with business stakeholders to understand processes, challenges and data requirements.
• Facilitate workshops and discovery sessions.
• Gather, document and validate business, functional, data and reporting requirements.
• Develop user stories, process flows, business rules and acceptance criteria.
• Complete detailed business and data analysis for binder and bordereaux-related solutions.
• Review the existing reporting estate to identify opportunities for reuse, enhancement or new development.
• Produce process documentation, data mappings, gap analysis and requirements artefacts.
• Analyse insurance datasets to identify trends, issues and opportunities.
• Support data mapping, profiling, reconciliation and root-cause analysis.
• Work closely with Data Engineers, Architects, Product Owners, Analytics teams and business stakeholders.
• Support backlog refinement, sprint planning, testing and release activities.
• Define and execute business test scenarios.
• Support system integration testing and user acceptance testing.
• Coordinate business sign-off and deployment readiness.
• Define business rules and data quality requirements.
• Support the identification and resolution of data quality issues.
• Help drive the successful delivery and adoption of associated data products, analytics and reporting capabilities.