Top Remote Senior Level Analysis Reporting Jobs in Rochester, NY

The Senior Applied AI Scientist will drive research and development in NLP, TTS, and computer vision, mentoring engineers and managing projects. The role involves implementing cutting-edge technologies and supporting the growth of the AI team to deliver high-quality outputs for Speechify's services.

As a Staff HR Analyst, you will analyze and visualize HR data to align with strategic goals, support talent strategies, improve processes, and provide insights to HR leaders and stakeholders. Responsibilities include data collection, reporting, HR systems optimization, workforce planning, and supporting continuous improvement initiatives within the HR team.

The Senior Field Application Scientist will manage customer application needs for genomic analysis, train customers on new processes, provide troubleshooting support, develop workflows, and represent the company at customer sites and scientific conferences.

The EDI Configuration Analyst will support electronic data integration workflows by collaborating cross-functionally to implement streamlined solutions and manage data file exchanges critical for client success. Responsibilities include ensuring timely project execution, leading client training, troubleshooting data sharing issues, and acting as a technical resource.

The CDP Manager will oversee the installation and management of the customer data platform, ensuring integration with marketing systems. They will develop data strategies for personalized marketing, analyze customer data for insights, and collaborate with various teams to enhance customer engagement through targeted campaigns.

The Senior Analyst, Threat Management is responsible for monitoring and analyzing threats, conducting vulnerability assessments, collaborating with teams for security integration, and improving overall security processes. They will also prepare risk analyses, reports, and assist in security training initiatives.

The Lead Credit Analyst will conduct trend and portfolio analysis, optimize underwriting and credit decision-making, and collaborate with Analytics and Data Science teams. This role involves mentoring team members and promoting a data-driven culture.