Top Senior Level Analytics Jobs in Rochester, NY

The Principal Sampling Statistician will design and execute sampling and weighting plans for surveys, apply statistical principles for data analysis, prepare reports and presentations, and advise on statistical methods related to sampling. They will also advance the organization's reputation through conferences and client consultation on statistical issues.

As a Senior GTM Data Strategist, you will lead analytics initiatives to enhance student safety solutions, build data infrastructure, and develop strategic insights for growth. Responsibilities include creating dashboards, managing ETL processes, and mentoring team members while collaborating with C-Suite executives.

The Senior Systems Analyst will optimize Vital Farms' Record to Report functions by planning, designing, implementing, and supporting related systems. Responsibilities include defining requirements, application configuration, user training, and enhancing business processes in collaboration with stakeholders.

The Senior Manager, Revenue Analytics will lead operational analytics, forecasting, and reporting for the Customer Success team. This role involves building actionable analytics, conducting analyses to identify opportunities for business growth, and collaborating with various teams to align strategies with business goals.

The Compensation & People Insights Analyst at Niche will analyze HR data to drive strategic decisions in employee compensation and performance. Responsibilities include maintaining data integrity, developing dashboards, conducting compensation analysis, and ensuring compliance with regulations. The role requires collaboration with stakeholders to enhance employee experience through actionable insights from metrics.

As a Senior Project Manager at CoEnterprise, you'll lead customer-facing projects, ensuring they are delivered on-time and within budget, managing communication with clients, stakeholders, and team members, while balancing project resources and addressing changes and risks.

The Principal Data Architect will lead the implementation of data practices leveraging AWS technologies, integrating Machine Learning and AI capabilities, and ensuring robust data architectures. Responsibilities include designing scalable data solutions, developing data streaming architectures, guiding data engineering teams, and collaborating with cross-functional departments to align data strategies with organizational goals.