Top Senior Level Data & Analytics Jobs in Wilmington, NC

The Senior Data Engineer will transform transactional data into datasets for reporting and analytics, develop and maintain SQL for ETL and reporting, and perform database and software administration tasks while collaborating with team members and learning new tools.

The Senior Data Engineer will enhance Wizard's data collection, storage, and analysis by developing scalable data infrastructure, building ETL pipelines, and collaborating with cross-functional teams for data-driven decision making. Responsibilities also include designing backend solutions for microservices and managing third-party integrations.

As Privacy, AI and Data Protection Counsel, you will work closely with the Global Privacy Officer to manage privacy, data protection, and AI compliance programs. Responsibilities include providing compliance guidance, reviewing agreements, advising on privacy-related issues, and staying updated on global regulations.

The Data Engineer will support analytics initiatives by developing and maintaining data pipelines, interacting with engineering teams in China, and ensuring data quality. Responsibilities include building scalable data warehouses, optimizing existing pipelines, and collaborating with leadership and stakeholders on data needs.

The Senior Anti-Money Laundering Analyst provides investigative support and analysis for AML projects, aids in complex investigations, develops training for financial investigations, and acts as a subject matter expert in financial crimes. Responsibilities include documenting findings, analyzing trends, and collaborating with law enforcement agencies.

The Sr. Credit Risk Analyst will develop and optimize credit strategies using advanced analytics, machine learning, and statistical models to manage and reduce credit risk. Responsibilities include designing A/B tests, conducting loss forecasting, collaborating with various teams, analyzing portfolio performance, and ensuring compliance with regulations.

As a Senior Data Engineer, you will implement technology strategies, develop scalable data pipelines, and integrate APIs to handle increasing data complexities. You will influence team practices through code reviews and design sessions while ensuring data quality and adhering to best architectural patterns.