| Onsite - Business Data Analyst with Insurance and Reinsurance industry / New York - Day 1 Onsite at York, New York, USA |
| Email: [email protected] |
| Greetings!! Hello, I hope you are doing well. My name is Vimlesh, an I.T Recruiter in the 1point System. Please go through the below JD and provide your updated resume if you find the role interesting. Must have - Insurance and Reinsurance industry Property and Casualty (P&C) Insurance IT and Data Migration . Role / Skills - Reinsurance Business Data Analyst Location New York Location Options Day 1 Onsite JD Position: Reinsurance Business Data Analyst Our client is in search of a seasoned Reinsurance - Business Data Analyst with a robust background in Property and Casualty (P&C) Insurance IT and Data Migration. The ideal candidate will possess a deep understanding of financial and statistical systems within heterogeneous environments and will be tasked with facilitating the efficient transfer and analysis of business data. Key Responsibilities: Execute hands-on data migration and business data analysis, ensuring the integration of diverse financial and statistical systems. Develop and implement strategic data mapping and cataloguing to enhance business intelligence and reporting capabilities, maintaining high data standards and consistency across all initiatives. Collaborate with various departments, including IT, Business Intelligence, Claims Operations, Reinsurance Services, and Quality Review, to document and uphold best practices in data transformation. Proactively identify, troubleshoot, and address data quality issues and challenges during data migration and process implementation, escalating as necessary and minimizing redundancy through vigilant project oversight to ensure timely delivery. Support management in the adoption of process enhancements to streamline workflow, enhance the transmission of regulatory reports, and improve overall operational efficiency, effectiveness, and internal controls. Anticipate and understand the broader impact of changes in project scope or requirements. Effectively communicate technical activities and objectives to diverse audiences and stakeholders. Design and develop comprehensive business process requirements and workflow procedures, as needed. Facilitate coordination and provide support to project teams during the implementation of new processes or procedures. Monitor project timelines, track activities, and resolve problems to ensure project success. Serve as a subject matter expert from project development through to implementation, including future changes or enhancements. Requirements : In-depth knowledge of the Insurance and Reinsurance industry, products, and operational landscapes. Exceptional analytical and problem-solving abilities. Proven experience in managing large-scale data migration projects. Familiarity with operations and claims systems, applications, and software. Proficient in requirements elicitation and documentation. Advanced Excel skills, including Pivot Tables, Macros, VBA; Power Query proficiency is highly desirable. Knowledge of ETL processes and Data Warehouse methodologies. Experience in collaborating with teams to analyse, define, and develop business requirements and workflow processes, including IT-related needs. Outstanding interpersonal, communication, and writing skills. Strong presentation capabilities. Proficiency in MS Office Suite, with advanced Excel or database tool skills. Self-motivated, results-driven, and capable of independently analysing complex business processes. Ability to manage multiple tasks and adapt to changing priorities, while maintaining a collaborative and team-oriented approach. Please note that this job description is not exhaustive. The incumbent may be required to undertake additional duties as necessitated by the evolving needs of the project. -- Keywords: cprogramm information technology golang microsoft Onsite - Business Data Analyst with Insurance and Reinsurance industry / New York - Day 1 Onsite [email protected] |
| [email protected] View all |
| Tue Jul 16 19:35:00 UTC 2024 |