Top Remote Senior Level Analytics Jobs in Rochester, NY

The Sr. IT Analyst for Planning & Forecasting provides system and integration support to the planning and replenishment teams. This role involves leading implementations, ensuring compliance, and managing project execution while collaborating with cross-functional teams.

The Principal Researcher will enhance research by analyzing publications, evaluating research ideas, implementing prototypes or production software, and communicating findings. The role requires collaboration with researchers and the application of knowledge in cryptography, distributed systems, and algorithms.

As a Senior Analytics Lead, you'll drive analytics support across the designated sub-vertical, take ownership of analytic processes for partners, and manage client relationships. Your role includes utilizing SQL for data manipulation, crafting insights, and leading initiatives within the organization to shape analytics strategy and product offerings.

As a Data Architect, you'll design data-intensive applications in Azure, lead data architecture projects, mentor team members, and craft enterprise data strategies while implementing data governance and security measures.

The Supervision Analyst leads the daily review process for new business to ensure compliance with firm and regulatory guidelines, reviews financial plans, monitors trading alerts, and collaborates with supervision team members. Responsibilities also include communicating policies effectively and resolving deficiencies in submissions.

The Senior Technical Field Operations Analyst will drive operational strategies and efficiencies for pre and post sales processes, analyzing operational data and collaborating with cross-functional teams to enhance revenue operations. They will report to the Director of Technical Field Operations and partner with various teams to develop KPIs and support operational objectives.

The Director of Data Operations oversees the management of data resources and enhances processes within the data team. Responsibilities include ensuring uptime of applications, guiding data projects, driving improvements, and maintaining compliance with industry standards. The director collaborates with other departments for strategic planning and leads a team of data engineers while communicating project updates across the organization.