Top Remote Data & Analytics Jobs in Greensboro, NC

The Continuous Improvement Analyst focuses on enhancing manufacturing and business processes by identifying improvement opportunities, utilizing Lean Management and Lean Six Sigma techniques, and facilitating ongoing training. They conduct analyses to troubleshoot issues and promote a culture of continuous improvement within the organization.

Seaport Research Partners seeks a Senior Equity Analyst with at least 7 years of experience in equity research. The role involves generating differentiated research, maintaining strong buy-side client relationships, and providing management access opportunities. Candidates should possess excellent communication skills and an entrepreneurial mindset, with MBAs and/or CFA preferred.

The Cyber Analyst will focus on Digital Forensics and Incident Response (DFIR) by delivering incident investigation and response services, analyzing digital evidence, identifying root causes of incidents, participating in recovery efforts, and creating reports and recommendations for clients.

The GTM Analytics Manager will lead business performance metrics, provide data-driven insights for strategic planning, develop business intelligence solutions to support growth initiatives, and assist the executive team in decision-making processes.

As a Senior/Staff Data Engineer at StackAdapt, you will design scalable real-time data pipelines, implement architectural improvements for big data ML pipelines, and work on microservice architectures for ML models. You'll collaborate with data scientists and engineers to solve complex issues within digital advertising.

Analyzing and advising on improvements in the customer journey, data analysis, sales forecasting, and systems to boost productivity. Collaborating with various teams to design and implement sales incentive plans and drive outcomes aligned with business objectives. Taking initiative in cross-functional projects to create efficiencies in sales processes and improve data quality.

As a Principal Data Scientist II (AI), you will shape AI strategies and develop innovative AI solutions. Responsibilities include defining AI architecture, collaborating with data scientists, integrating AI capabilities across the platform, providing technical leadership, and driving product innovation.