Business Data Analyst (Data Continual Improvement)- London

FDM is a global business and technology consultancy seeking a Business Data Analyst (Data Continual Improvement) 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 continual improvement across an established data function.

The successful candidate will provide business analysis support across on-premises and cloud-based data platforms, analytics solutions and business reporting. The role will manage and refine a backlog of business requests, engage stakeholders to define requirements and priorities, and act as the interface between business teams and technical delivery functions.

This position requires strong insurance data experience and the ability to support ongoing improvements across data products, reporting, data quality and analytics capabilities.

Responsibilities

• Engage with stakeholders to understand business processes, challenges and data requirements.
• Facilitate workshops, discovery sessions and requirements discussions.
• Gather, document and validate business, functional and data requirements.
• Develop user stories, process flows, business rules and acceptance criteria.
• Manage and refine the backlog of business requests.
• Work with stakeholders to define delivery requirements and priorities.
• Support enhancements across on-premises and cloud-based data platforms.
• Support the development and improvement of data products, dashboards and reporting solutions.
• Analyse insurance datasets to identify trends, issues and improvement opportunities.
• Support data mapping, profiling, reconciliation and root-cause analysis.
• Act as the interface between business stakeholders and technical delivery teams.
• Work closely with Data Engineers, Architects, Product Owners and Analytics teams.
• 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.
• Improve data processes, reporting, data quality and analytics capabilities.
• Provide stakeholders with clear visibility of priorities, progress and delivery outcomes.