Top Remote Senior Level Analytics Jobs in Rochester, NY

The Data Strategy & Operations Manager will develop the data operations program, implement data quality strategies, manage data flow and accuracy in CRM systems, and analyze data for executive leadership. This role requires collaboration with various teams to enhance data processes and ensure high data integrity.

As an Analyst at TechOp Solutions, you will leverage your analytical skills to develop Mission Assurance deliverables, conduct stakeholder interviews, and integrate data to support strategic initiatives. Your role includes analyzing policies, facilitating documentation reviews, and creating presentations to update leadership on project milestones.

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.

The Senior Data Analyst will build and enhance CXO data models, develop compelling data visualizations, and present insights to senior leadership. This role involves collaborating with cross-functional teams to improve customer experience and serving as a subject matter expert on VoC data.

The Senior Process Analyst will design and deliver transformation and continuous improvement roadmaps, focusing on optimizing global processes in finance planning and analysis. Responsibilities include facilitating workshops, performing gap analyses, documenting processes using BPMN, and driving adoption of transformations through effective stakeholder engagement.

Develop predictive models and machine learning algorithms to optimize financial processes. Conduct exploratory data analysis to identify patterns, collaborate with teams to design analytical solutions, and build the Data Analytics function as the company expands.