Data Migration Analyst
Location
United States
Posted
66 days ago
Salary
0
Seniority
Mid Level
Job Description
Data Migration Analyst
World Insurance Associates, LLC.
Company Overview World Insurance Associates (“World”) is a unique financial services organization with a global network of brokers and specialists who empower people to make informed decisions to improve their risk management outcomes, modernize their benefits programs, and help them achieve their long-term financial goals. Founded in 2011, World is one of the fastest-growing, Top 25 insurance brokers in the U.S. with nearly 3,000 employees in more than 300 offices across North America and the U.K. World specializes in personal and commercial insurance, surety and fidelity bonding, employee and executive benefits, investment advisory and retirement plan services, and payroll & HR solutions. Position Overview We are seeking a Data Migration Analyst to support the successful migration of insurance data from legacy systems to the Applied EPIC platform. This role ensures data accuracy, integrity, and regulatory compliance while working closely with business stakeholders, IT teams, and third-party vendors. The ideal candidate has strong insurance domain knowledge and hands-on experience with data conversion and validation. Key Duties and Responsibilities - Collaborate with third-party vendors to complete required steps for extracting data from multiple source systems - Analyze legacy systems to understand data structures, relationships, and business rules - Translate legacy data into target system formats, including field-level mappings, source to destination code mapping, default values, and conditional logic - Communicateand collaborate with business owners and internal teams (including operations and trainers) to improve data quality and resolve data issues prior to conversion - Lead and manage all data conversion–related meetings and calls, including pre-conversion data assessments, requirements discussions, data reviews, issue resolution, and status updates - Work closely with the system vendor to identify, analyze, and resolve data discrepancies - Validate migrated data to ensure accuracy, completeness, and reconciliation with source systems - Perform data testing and validation for each sample delivery, ensuring alignment with approved mapping documents and data change requests - Provide post-migration support and assist with data-related issues following go-live - Adhere to defined process timelines and milestones while managing data conversion activities across multiple concurrent projects Required Skills and Qualifications - Bachelor’s degree in Information Systems, Computer Science, Business, or a related field (or equivalent experience) - Experience in data migration or data analysis within the insurance industry - Knowledge of insurance data domains, ACORD forms and insurance data standards - Strong analytical, problem-solving, and documentation skills - Ability to communicate effectively with both technical teams and business stakeholders Preferred Qualifications - Strong SQL skills and experience working with relational databases - Experience with Applied EPIC or similar insurance management systems - Familiarity with insurance regulatory and compliance requirements Key Competencies - High attention to detail - Strong understanding - of insurance business processes - Ability to manage multiple priorities and meet deadlines - Collaborative, proactive, and solution-oriented mindset Equal Employment Opportunity At World Insurance Associates (WIA), we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our products, and our community to flourish. WIA is honored to be an equal opportunity workplace. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, age, citizenship, marital status, disability, gender identity, sexual orientation, or Veteran status. In addition, WIA makes reasonable accommodations to known physical or mental limitations of an otherwise qualified applicant or employee with a disability, unless the accommodation would impose an undue hardship on the operation of our business. To Executive Search Firms and Staffing Agencies World does not accept unsolicited resumes from any agencies that have not signed a mutual service agreement. All unsolicited resumes will be considered World’s property, and World will not be obligated to pay a referral fee. This includes resumes submitted directly to Hiring Managers without contacting World’s Human Resources Talent Department. #LI-GP1 #LI-Remote
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Sobre a Arvo Temos o propósito de tornar a saúde no Brasil mais acessível para todos. Nossa jornada começa com o uso de dados e inteligência artificial para reduzir fraudes, abusos e desperdícios em pagamentos de saúde. Acreditamos que a única maneira de alcançar isso é através de um time incrível, com pessoas apaixonadas por saúde e compradas na nossa missão de transformar o setor. Perfil Desejado Procuramos um Engenheiro de Dados sênior com forte viés de programador e alta autonomia. Você deve ser capaz de atuar de forma transversal (cross-functional), garantindo a escalabilidade do código e a eficiência de nossos pipelines na nuvem. Responsabilidades • Evoluir pipelines de engenharia e enriquecimento de dados em toda a organização. • Otimizar o código Python para garantir escalabilidade e eficiência computacional. • Implementar e refatorar agentes e processos para deploy em ambiente de nuvem (GCP). • Garantir a homologação e a arquitetura de soluções robustas na nuvem. • Colaborar em frentes variadas (perfil híbrido) para apoiar o desenvolvimento de novos produtos e qualidade de dados. Qualificações Mínimas • Sólida experiência como Data Engineer Sênior com alta autonomia. • Domínio avançado de programação em Python. • Fundamentos fortes em arquitetura de dados e infraestrutura em nuvem. • Experiência em deploy de aplicações e otimização de sistemas. Qualificações Desejadas • Certificação oficial em Google Cloud Platform (GCP). • Experiência prévia em construção de plataformas de dados. • Perfil híbrido com experiência em Engenharia de Software ou Machine Learning. - Formação na área da computação ou correlata. Descrição da Vaga Como Senior Data Engineer, você será responsável por sustentar a base tecnológica que permite à Arvo processar dados de saúde com precisão e escala. Seu desafio será garantir que nossa infraestrutura seja performática e autônoma, atuando como um facilitador técnico entre as diversas frentes da empresa. O sucesso nesta posição significa transformar pipelines complexos em fluxos de dados fluidos que alimentam diretamente nossa missão de democratizar a saúde. Benefícios Plano de Saúde Bradesco Saúde Nacional II (TNMI) VA/VR: R$1.080 no Flash Acesso ao wellhub (gympass) Vaga remota
Data Engineer
TechBiz GlobalTechBiz Global is a leading IT recruitment and software development company
• Design, build, and maintain scalable, resilient, and secure data pipelines. • Develop, operate and optimize ETL/ELT processes for batch jobs and API-driven data integrations using ETL platform. • Identify, assess, and acquire relevant internal and external data sources for analytics and integration use cases. • Ensure compliance with data governance, platform standards, and security policies while identifying opportunities for automation.
The Data Engineer is responsible for monitoring, expanding, and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems as well as building them from the ground up. The Data Engineer supports our solution architects, data analysts, and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. Candidates should have education and/or experience in data modeling, requirements analysis, and best practices in analytics. Experience with BI applications is a definite plus. - Develop, test, and maintain data pipelines to support data integration and processing. - Assist in the design and implementation of data models and data warehousing solutions. - Collaborate with data scientists and analysts to understand data requirements and ensure data is accessible and reliable. - Monitor data pipelines and systems, troubleshooting issues as they arise. - Work with senior data engineers to optimize data processes and infrastructure. - Ensure data quality and integrity through regular audits and validations. - Contribute to the documentation of data processes and best practices
Staff AI/Data Engineer
SupersideFounded in 2015, Superside is an "always-on" design company on a mission to deliver beautiful design at scale to enterprise teams. From everyday production projects to large-scale
• Build the knowledge layer that sits underneath Superads' AI agents — the systems that give them genuine understanding of a brand rather than just access to its documents. • Design how brand knowledge is represented, stored, and continuously updated: the structures that let an agent reason about a brand the way a senior strategist would, not just retrieve what's been written down. • Develop agentic search capabilities — systems that let agents reason about what they don't know, identify knowledge gaps, and navigate information dynamically rather than relying on fixed retrieval pipelines. • Evaluate and iterate on architectures for knowledge retrieval and reasoning, identifying where current approaches break down and driving more interesting solutions. • Translate emerging AI research and patterns into production-ready systems that measurably improve output quality and reliability. • Work closely with the product and AI engineering teams to ensure the knowledge layer directly improves what users experience — staying connected to product impact even when the work takes you deep into infrastructure.
