Top Remote Senior Level Data & Analytics Jobs in Birmingham, AL

As a Senior Data Engineer, you will design, develop, and maintain data platforms to support organizational data needs, build scalable data ingestion pipelines, lead data governance efforts, and collaborate with Data Scientists and Product Managers to implement data models and ETL processes, predominantly using AWS technologies.

As a Senior Data Scientist, you will collaborate with product teams to generate insights that enhance growth and engagement. Responsibilities include building dashboards, delivering analyses, designing experiments, and communicating findings to drive product improvements and customer experience.

As a Senior Analyst in Pricing Strategy & Operations, you will define and report on subscription billing models, support incentive compensation processes, analyze performance metrics, manage KPI reports, and drive improvements for the Sales and Service teams through collaboration and strategic project assistance.

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 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.

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.