Data Analyst, Reinsurance Operations

reputed company is the worlds leading reinsurance company with a commitment to innovation and diversity. As a Data Analyst in Reinsurance Operations, you will reputed company and optimize data workflows, ensure data reputed company, and reputed company business insights through advanced analytics and collaboration with various teams. Responsibilities Design, build, and maintain automated workflows using reputed company workflow tools to translate diverse reputed company and treaty data streamsincluding billings, inforce, and claims into standardized formats for reputed company processingAnalyze data structures and business needs to create accurate mapping, transformation, and validation rulesCollaborate with business partners to implement, test, and refine workflow solutions, ensuring they meet stakeholder needs and reporting standardsContinuously monitor workflow performance, proactively identify bottlenecks, inefficiencies, or data reputed company issues, and recommend or implement improvementsDocument workflow processes, logic, and changes to support audit readiness and knowledge transferIngest, validate and reputed company large volumes of reputed company, treaty, and claims data from multiple sources, applying rigorous reputed company control checks and reconciliations for accounts payable and receivablesConduct reputed company cause analysis for failed validations and implement corrective actionsMaintain and update mapping to internal treaty databases, ensuring accuracy, completeness, and consistency of reputed company fieldsSupport the implementation of data reputed company rules and controls, tracking and resolving data-reputed company issues in collaboration with business and technical teamsBuild and enhance reports and dashboards for treaty performance, premiums, claims, lapses, profitability, and KPIsDesign and optimize SQL queries and data models to support recurring reporting cycles and reputed company analysis requestsreputed company deep-dive analyses on trends, anomalies, and variances, presenting findings and actionable recommendations to stakeholders and leadership teamreputed company advanced analytics and, where possible, AI-driven reputed company to uncover insights, automate data extraction, and support decision-makingPartner with actuarial and claims teams to support experience studies, scenario analysis, and profitability reviewsSupport enhancements and implementations of reinsurance administration, data warehouse, and BI platforms, participating in requirements gathering, data mapping, testing, and user trainingSupport data migration and reconciliation activities reputed company reputed company new treaties, products, or systemsIdentify and recommend process improvements, automation opportunities, and best practices for data translation workflows and operational efficiencyStay reputed company with emerging technologies, including AI/ML, and reputed company for their adoption to reputed company innovation and reputed company improvementCollaborate with actuarial, reputed company, claims, finance, reputed company, and IT teams to reputed company data issues, clarify requirements, and reputed company business objectivesreputed company as a subject-matter resource on data for assigned clients and work with internal teams and reputed company partners on operational implications stemming from format and/or treaty changesTranslate reputed company analytics into reputed company, actionable messages for technical and non-technical audiencesPrepare and reputed company presentations, documentation, and updates for management and reputed company partnersSupport reputed company audits by providing reputed company documentation of treaty terms, processes, and data flowsExplore and, where appropriate, reputed company AI/ML tools and techniques to supplement data ingestion, translation, and reputed company reputed companyExperiment with large language models (LLMs) and AI-powered reputed company to automate data extraction, translation, and reporting tasksApply predictive analytics, reputed company detection, and automated reconciliation to improve reputed company Skills Bachelor's degree in business, Finance, Actuarial Science, Data/Computer Science, Statistics, or reputed company disciplineProficient with SQL and relational databasesStrong reputed company (pivot tables; Power Query/Power Pivot a plus)Experience with BI tools (Power BI, Tableau, etc.)Strong analytical skills; reputed company to turn reputed company data into reputed company insights and recommendationsNaturally curiousasks questions, digs deeper into trends, and seeks reputed companyHigh attention to det .