Top Senior Level Data & Analytics Jobs in Rochester, NY

The HR Analyst audits and analyzes HR-related compensation and benefit areas, prepares reports and forecasts, reviews financial records for accuracy, supports Total Rewards projects, and develops metrics for decision-making. This role requires strong analytical skills and the ability to communicate insights effectively.

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 Database Administrator will monitor and optimize geospatial databases, perform SQL Server administration, and work collaboratively with various teams to improve database performance, implement data standards, and assist in database design and development.

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.

The Senior Data Scientist at Tubi will advance the company's experimentation platform by planning and executing experimentation strategies, enhancing statistical rigor, and providing insights to inform data-driven decisions. Responsibilities include designing tests, analyzing results, and collaborating with teams to measure the impact of initiatives.