Top Senior Level Data & Analytics Jobs in Wilmington, NC

The Senior Data Analytics Engineer will support cross-functional teams, design and build dashboards to track various metrics, perform analyses on business trends, maintain data transformations, and ensure data quality. They will also create self-serve BI tools and support data analytics and data science projects.

The Senior Credit Analyst will be responsible for building pricing models, ideating on pricing structures, implementing data tracking for lending projects, modeling product performance, and optimizing profitability in collaboration with cross-functional teams. The role requires extensive experience in analytics, financial analysis, and credit risk analysis.

The Senior Big Data Engineer will develop and optimize batch processing systems using tools like Oozie and Airflow within GCP. The role involves implementing DevOps practices for CI/CD and managing data workflows.

The Manager of Software Engineering - Data at TrueCar will lead a team of data engineers, manage product roadmaps, provide technical guidance, and collaborate with various teams to enhance the online platform and improve the car buying experience.

As a Sr. Data Engineer, you will be responsible for developing and managing data pipelines, collaborating with clients and teams to integrate data, implementing data security measures, and mentoring junior engineers. You'll focus on optimizing data processes within a scalable, cloud-based data management platform tailored for the healthcare industry.

The Information Security Compliance Analyst will manage and execute SOC reporting initiatives, conduct technical risk assessments of third-party vendors, maintain a register of suppliers and risks, assist in security training programs, and conduct user activity audits.

The Senior Financial Analyst at Braviant will manage financial reporting and forecasting processes, analyze business performance, create SQL queries for data analysis, and support financial modeling for strategic decisions. The ideal candidate must demonstrate strong data querying skills and financial modeling experience.