Business Analyst
Cliente Anonimo
- London, England, United Kingdom
- London, England, United Kingdom
About
Analyze and understand business requirements related to core insurance data (e.g., policies, claims, customers, billing) to support modeling, data migration, reporting, and analytics initiatives. Collaborate with business stakeholders (such as business analysts, project managers, actuaries, and finance teams) and technical teams to document and validate data requirements. Define, document, and maintain comprehensive data mapping specifications, including source-to-target field mappings, transformation rules, data cleansing logic, and validation criteria. Perform detailed data analysis to identify data structures, relationships, quality issues, and anomalies across various source systems. Translate business rules and requirements into clear, actionable specifications for data development teams (e.g., ETL, reporting). Work closely with developers and data engineers to ensure that implemented data solutions meet business needs and functional expectations. Develop and execute data validation strategies and test cases to ensure data accuracy, consistency, and completeness. Support User Acceptance Testing (UAT) by helping business users validate data outputs and reports. Identify, investigate, and help resolve data issues, discrepancies, and defects throughout the data lifecycle. Maintain thorough documentation, including data dictionaries, mapping documents, process flows, and project status updates. Required Skills
Must-Haves: Proven experience as a Data or Business Analyst, preferably in data migration and/or reporting projects within the insurance industry. Solid understanding of core insurance operations (e.g., policy administration, claims, underwriting, billing) and related data structures. Strong skills in data analysis, data profiling, and data mapping (source-to-target). Proficiency in SQL for data extraction, analysis, and validation. Demonstrated ability to define and document detailed data transformation rules and validation criteria. Excellent analytical thinking, problem-solving, and attention to detail. Strong written and verbal communication skills, with the ability to engage and collaborate effectively with both technical and non-technical stakeholders. Comfortable working in English Language in a daily basis, both spoken and written form. Ability to translate complex business requirements into clear functional and technical documentation. Nice-to-Haves Experience with core insurance systems (e.g., Guidewire, Duck Creek, Insis, SICS, Insurity, or other legacy/modern platforms). Familiarity with ETL tools and processes used in data migration or data integration projects. Understanding data governance, metadata management, and data quality best practices. Experience in Agile, Scrum, or hybrid delivery methodologies. Knowledge of data warehousing, data visualization, and business intelligence tools. Bachelor's degree in Computer Science, Information Systems, Business, Actuarial Science, or related field.
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Languages
- English
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