Top Data & Analytics Jobs in Rochester, NY

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

The Workforce Management Analyst analyzes workforce data to forecast capacity and trends, build reports, and provide actionable insights to management and HR.

The Revenue Strategy and Operations Manager will drive GTM transformation, manage RevOps functions, and design data-driven workflows for sales and post-sales. Responsibilities include forecasting, automation, and performance analytics with a focus on enterprise sales.

The role involves defining business needs, translating them into software requirements, leading discovery sessions, and collaborating with stakeholders and development teams, with a focus on AI-driven prototyping and pre-sales activities.

The Analytics Engineer will enhance BI infrastructure, collaborate with Data Engineering, and deliver analytics-ready data. Responsibilities include managing Snowflake, dbt projects, and CI/CD workflows, optimizing data structures, and supporting BI initiatives.

The CPQ Salesforce Consultant will implement and optimize Salesforce CPQ solutions, analyze client needs, and manage project lifecycles while collaborating with clients and team members.

The Marketing Data Analyst will aggregate, analyze, and transform marketing data to inform campaign strategies and measure performance, while collaborating with stakeholders and ensuring data quality.

The role involves building and maintaining data infrastructure for compliance analytics, ensuring reliable data processing, and collaborating with data scientists and ML engineers to support compliance functions.

Lead marketing data science efforts, overseeing analytics and machine learning strategies to enhance user acquisition, engagement, and retention. Mentor a team and communicate data insights to executives to influence marketing and budget decisions.

The role involves supporting analytical operations, maintaining product data in LIMS, applying statistical techniques, and building monitoring tools to aid decision-making.