Senior Business Analyst (Data Domain) (#4804)

About the Client:

Our client provides comprehensive operational support and a range of expert services to the world’s leading insurers, brokers, fleet managers and automotive manufacturers. 3,300 employees across ten countries deliver exceptional standards on a large scale for over 1,200 clients. The company helps the global insurance market to handle millions of claims each year in the most cost-effective and efficient ways possible.
The company is embarking on an exciting and challenging transformation program and our software solutions are a driving force behind this strategy using cloud computing and leading-edge design patterns. 

Responsibilities:

• Collaborate with stakeholders to elicit, analyze, and refine complex business and data requirements
• Translate requirements into clear documentation, including functional specifications, user stories, and process/data flows
• Support validation activities and ensure requirements traceability across the delivery lifecycle
• Facilitate workshops, requirements sessions, and walkthrough meetings with cross-functional teams
• Identify dependencies, impacts, and gaps across processes, systems, and data flows
• Create and maintain data dictionaries, mappings, and structured documentation for the Data Team
• Contribute to documentation standards and requirements management best practices
• Mentor junior analysts and support knowledge-sharing initiatives

Requirements:

• 5+ years of experience as a Business Analyst, including at least 2 years in data-focused or analytics environments
• Strong expertise in requirements elicitation, analysis, and documentation
• Experience with business process and data modeling (BPMN, UML, or similar)
• Excellent written and verbal communication skills in English
• Experience working in cross-functional teams with Data Engineers, Analysts, PMs, and Product Owners
• Familiarity with Jira, Confluence, and BA/process modeling tools
• Strong analytical thinking, attention to detail, and a data-driven mindset

Nice to Have:

• Experience writing SQL queries for data validation or analysis
• Practical experience with BI/reporting tools (Power BI, Tableau, etc.)
• Experience working with cloud data environments (AWS, GCP, Azure)
• Background in consulting, finance, insurance, or related industries
• Relevant certifications (CBAP, PMI-PBA, etc.)
• Experience supporting data governance or master data initiatives