Overview

An exceptional opportunity has arisen for a Data Business Analyst - Process Change to join a globally respected (re)insurance market in London, renowned for its integrity and commitment to operational excellence. You will be responsible for preparing insightful reports that drive informed decision-making at all levels of the organisation. By leveraging your analytical skills, you will identify areas for improvement, and ensure that all activities align with regulatory standards.To excel as a Data Business Analyst - Process Change, you will bring substantial experience navigating complex environments where regulatory compliance is paramount. Your background should include hands-on involvement in process transformation initiatives—ideally within financial services or insurance—where your analytical acumen has enabled you to turn raw data into meaningful business intelligence.Key experience

Key experience required;

Demonstrated experience in process improvement or change management within complex or regulated environments such as financial services or insurance markets.Advanced analytical skills with proven ability to manipulate large datasets using tools like Microsoft Excel or similar platforms for generating actionable insights.Excellent communication abilities that allow you to convey complex concepts diplomatically across various stakeholder groups including senior leadership.High level of IT literacy including proficiency in Microsoft Office suite (Outlook, Word, PowerPoint and Excel) essential for reporting and presentation purposes.Experience working collaboratively within teams as well as independently; adept at building relationships that facilitate knowledge sharing across departments.Familiarity with regulatory expectations regarding good governance practices within insurance or financial services sectors is desirable but not essential.If this role is of interest, please apply below.Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates.

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