Top Senior Level Analytics Jobs in Rochester, NY

The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.

The Lead Data Scientist will develop forecasting models and monitor revenue performance within Extend's Finance Analytics team. This role requires collaboration with senior leaders and cross-functional teams to identify revenue opportunities and improve financial planning. Key tasks include building data architecture for financial inputs and ensuring data integrity through effective governance.

The Data Senior Principal Consultant guides clients through the implementation and operational phases of Workday, leveraging expertise in design, configuration, and data management. Responsibilities include mentoring other consultants, managing project workstreams, and ensuring successful data conversion processes.

The Strategic Planning Analyst will monitor and analyze inventory levels, ensure compliance with OEM contracts, collaborate with engineering teams to optimize aircraft planning, conduct cost comparisons, assist with special projects, manage ERP system accuracy, and develop inventory purchasing strategies based on performance analysis and KPI evaluations.

As a Senior Data Scientist at VRChat, you'll collaborate with cross-functional teams to analyze product features and campaigns, conduct quantitative analyses, and deliver insights to drive strategic product decisions. You'll design metrics, perform root cause analyses, and create data visualizations, while leveraging your experience in data science to influence business outcomes in a remote work environment.

The Data Analyst will oversee machine learning model development, create interactive dashboards, conduct data analysis for insights, and ensure data quality within the MEDCHART system. They will collaborate with stakeholders to meet model requirements and report findings efficiently.

The Staff Engineer will lead the design, development, testing, and maintenance of healthcare policy engines, ensuring high performance and optimal functionality. Responsibilities include collaborating with teams to explore data science opportunities, implementing predictive analytics, and driving improvements in system architecture.