Top Analytics Jobs in Rochester, NY

As a Sales Engineer, you will engage with clients to design and implement cloud data solutions using platforms like Databricks and Snowflake, focusing on AI/ML integration and data engineering workflows. Your role includes presenting tailored solutions, conducting workshops, and providing ongoing customer support.

The Sales Data Analyst will analyze sales data, identify trends, and improve CRM data for better sales strategies. Responsibilities include developing complex Excel spreadsheets, utilizing SQL for data manipulation, and generating reports on sales performance indicators. Collaboration with cross-functional teams is essential for providing actionable insights.

The Revenue Operations Analyst will focus on improving revenue visibility and operational efficiency at Veda by utilizing data analysis and providing insights. The role includes managing data sets, setting reporting standards, collaborating with various teams, and implementing processes for data accuracy.

The GIS Analyst will create and integrate geospatial data into EIMS, ensure compliance with standards, conduct quality assurance, and manage GIS-related requests. They will also assist in training, maintain metadata records, and document data models while actively participating in strategic planning meetings.

The Lead Data Manager is responsible for managing all data activities in clinical trials, serving as the primary point of communication between project teams and clients, coordinating data management tasks, developing documentation, performing data review and reconciliation, and training junior staff.

The IT Systems Analyst III role involves gathering requirements, designing solutions, and improving business processes related to Oracle Applications. Responsibilities include defining functional requirements, testing and troubleshooting applications, managing data governance, and collaborating with technical teams and stakeholders to enhance enterprise applications and operational efficiency.

As a Senior Research Scientist, you will develop algorithms for personalization and classification within large-scale email systems. Responsibilities include designing and deploying machine learning models, collaborating across teams, optimizing workflows for big data processing, and mentoring juniors.