Top Remote Senior Level Data & Analytics Jobs in Wilmington, NC

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.

The Splunk/Cribl Architect will lead the design and implementation of an enterprise data analytics suite for federal customers, focusing on Splunk and Cribl technologies. Responsibilities include architecting hybrid cloud/on-prem solutions, maintaining and administering systems, and collaborating with SOC teams to drive security content requirements.

As a Senior Analytics Engineer, you will build and maintain data models and the analytics stack. Responsibilities include writing SQL for DBT, collaborating on data models, troubleshooting and scaling reports, and applying software engineering practices to enhance data discovery and organization.

As a Data Engineer, you will manage data transfers and ensure the security and health of the infrastructure while utilizing ETL technologies. Responsibilities include automating configuration management, developing solutions for data challenges, and engaging with teams to drive innovation in data architectures.

As a Data Engineer at Strike, you'll build and maintain scalable data pipelines, collaborate with analysts, improve data infrastructure, and educate the business on best data practices while supporting a fast-paced startup environment.

The Senior Data Conversion Consultant - Programmer collaborates with higher education clients and internal teams to implement Jenzabar software and transform legacy data using SQL. Responsibilities include developing SQL scripts, managing project timelines, and maintaining effective communication with clients. This role requires T-SQL expertise and data validation participation.

Lead a team of engineers to design and maintain data pipelines, ensuring scalability and performance. Allocate resources effectively, provide guidance, monitor project progress, and foster a culture of innovation. Stay updated on industry trends and handle technical issues to support product enhancements.