Technical Business Analyst

Technical Business Analyst Jersey City, NJ $70 Hybrid Client – AIG Experience:
• Minimum of 4-5 years of experience in data projects including ETL, data modeling, data management, and data governance.
• Proven experience as a business analyst in a technical environment, with a strong understanding of the insurance P&C domain.
• Data Modeling expertise, including dimensional modeling and data vaulting methodologies.
• Experience with Data Governance, ensuring the accuracy, consistency, security, and availability of data.
• Hands-on experience with SQL and Python/Pyspark for data analysis across multiple source systems and formats.
• Knowledge of Insurance P&C industry standards and practices, including risk, claims, underwriting, and policy data management.
• Experience working with external data vendors/suppliers and understanding of their contractual documents and open-source data libraries.
• Strong understanding of data vaulting techniques for building scalable, flexible data architectures.
• Experience in managing and governing data assets, including master data management, metadata management, and data quality.
• Project Management experience is a plus. Primary Skills:
• Business analysis, requirement gathering and elicitation, understanding of ETL, data modeling, and data governance.
• Hands-on experience in SQL, Python/Pyspark, and working with large datasets across various systems.
• Data Literacy, with a conceptual understanding of Data Modeling, Data Warehousing, Dimensional Modeling, and Data Vaulting.
• Experience with the Insurance P&C domain, including a deep understanding of risk and claims data, policy lifecycle, and actuarial data.
• Experience with Data Governance, ensuring data quality and consistency across systems.
• Experience working with external data vendors and understanding contractual documents, including open-source libraries (e.g., Creative Commons).
• Familiarity with RFPs (Request for Proposals), managing delivery, stakeholder management, and coordinating assessments.
• Data background with FS (Financial Services) and ESG (Environmental, Social, and Governance) data domain knowledge is a plus.
• Proficiency with typical tooling such as Jira, Confluence, and project lifecycle tools.
• Solid experience working within an Agile environment, with a focus on user stories, acceptance criteria, and sprint planning.
• Advanced MS Office Suite skills, including PowerPoint, Excel, Access, and Visio.