Top Remote Data & Analytics Jobs

The Deal Desk Analyst at Pluralsight will actively collaborate with sales teams to support the approval process for non-standard deals, improve workflow efficiency, and ensure compliance with corporate strategies. This role involves analyzing contract terms and enhancing business practices for deal closure while serving as a trusted advisor to the sales team.

The Senior Information Security Analyst prepares and facilitates security examinations, collaborates with the Information Security, Risk, & Compliance team, identifies business risks, manages vendor security assessments, and enhances security awareness across the organization.

The Senior Data Engineer will design, develop, and manage scalable data architectures and pipelines, primarily using cloud platforms like Azure. Responsibilities include data integration, modeling, optimization, and mentoring. The role emphasizes collaboration with cross-functional teams to ensure data infrastructure supports analytics and drives decision-making.

The Senior Renewals Analyst is responsible for improving processes, ensuring the quality and validity of ARR data, and managing relationships with stakeholders. They lead projects with defined business milestones and collaborate with various teams to optimize systems and document improvements, contributing to operational efficiency.

The Claims Data Analysis and Reporting Manager will drive data analytics, create reports, and visualize data to support the Claims business team. This role involves collaborating with data engineering to establish data infrastructure, performing predictive analytics, and optimizing claims processes through insightful analysis and modeling.

The Revenue Operations Senior Analyst will manage pipeline reporting and forecasting, design compensation plans, conduct data analysis, and collaborate with sales teams to enhance operational efficiency. Responsibilities include maintaining reports, supporting sales enablement, and optimizing processes through automation.

The AI/ML Scientist Manager will lead the deployment of AI solutions, ensuring best practices in model operationalization. Responsibilities include framework development, collaborative implementation with Data Scientists, team leadership of ML engineers, managing ML operations with ML Flow, and overseeing CI/CD pipelines.