Top Remote Data & Analytics Jobs in Rochester, NY

The Lead GTM Analytics Engineer designs and manages the data model for GTM execution, ensuring accurate metrics and insights across Sales, Marketing, Customer Success, and Partnerships to drive revenue performance.

Build and operate scalable data pipelines and analytics-ready datasets using Python, dbt, and BigQuery. Develop Looker dashboards, ensure data quality and observability, optimize performance and cost, integrate data workflows with backend services and CI/CD, and support analytics, experimentation, and production use cases.

The Director of Data and Analytics will lead and grow the data function, overseeing team development, strategic execution, governance, and data integrity in a healthcare-focused environment.

The Sr. Business Operations Analyst will analyze healthcare claims data, support implementations, gather requirements, and identify operational efficiencies while ensuring compliance with regulations.

The role involves identifying user friction points through data, maintaining KPIs, developing an analytical roadmap, and collaborating with cross-functional teams to enhance product experience. The manager will also mentor a team focused on technical excellence and accountability.

As a Supervisor in Analytics, you will lead media analytics projects to generate insights and support client decisions, managing analytics teams and client communications effectively.

The Data Entry Assistant is responsible for maintaining data accuracy, performing quality checks, and managing electronic files in a remote work setting.

The Data Migration Specialist will oversee the migration of customer data from legacy systems into Prospyr, ensuring data accuracy and reliability through validation, QA checks, and collaboration with cross-functional teams to support customer onboarding and go-live processes.

Design, build, and operate Spark-based ETL pipelines on AWS. Collaborate with stakeholders to deliver reliable data products, ensure data quality and governance, optimize performance, and maintain operational excellence of the data platform.

The Senior Data Analyst will analyze trends, develop segmentation frameworks, create dashboards, manage risk rules, and support audits and projects.