Top Remote Data & Analytics Jobs in Rochester, NY

The Data Engineer will design and maintain data pipelines, optimize cloud data warehouses, and collaborate with analytics teams while mentoring junior staff.

The Director of Data & Analytics will lead the internal analytics function, developing data models, analytical frameworks, and savings methodologies to support value-based care and market expansion at RightMove.

The Data Architect will modernize the data ecosystem, design data pipelines, ensure data governance, and align data strategies with business needs to enhance analytics capabilities.

The QA Analyst is responsible for ensuring product excellence through user requirement testing, defect management, and automation of software workflows. They create test cases, prioritize execution, conduct exploratory testing, and work closely with QA engineers to enhance automation coverage.

The Data Quality Executive maintains accuracy in Cision's media database, conducts research on media outlets and journalists, writes summaries for newsletters, and manages data quality projects.

The Sr. Data Engineer will build and maintain data pipelines, develop ETL processes, and optimize data infrastructure, collaborating across teams to ensure data reliability and performance.

The intern will develop data structures, automate pipelines, perform analysis, and maintain documentation for the Sales Operations team at Voltus.

The AVP, Research Science and Advanced Analytics leads teams in delivering analytics and research results, optimizing client outcomes through advanced statistical tools and methodologies in healthcare.

The Manager, Analytics Solutions & Experience will design and enable analytics solutions, enhance client experiences, and support analytics adoption within the Unify platform while collaborating with cross-functional teams.

Serve as an AI/ML-focused solution engineer for Healthcare & Life Sciences: provide technical guidance, design cloud data and lakehouse architectures on Snowflake, lead demos and proofs-of-concept, support sales cycles, collaborate with product and engineering, and communicate AI/ML value to technical and executive stakeholders.