Top Remote Data & Analytics Jobs in Rochester, NY

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

The Principal GTM Analyst translates complex business questions into actionable insights, collaborating with Marketing and GTM teams to drive growth and marketing efficiency through advanced analytics and storytelling.

The role coordinates project workstreams, ensures delivery standards, manages quality assurance, analyzes datasets, and enhances client relationships in GenAI projects.

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

The Senior Product Analyst role involves data analysis, A/B testing, generating insights, and collaborating cross-functionally to enhance product strategies.

Lead and manage the strategy, development, and operation of BECU's Enterprise Data Platform, ensuring secure and scalable data capabilities while fostering team collaboration and data governance.

As a Senior Data Scientist in Marketing Analytics, you'll partner with Marketing to solve problems, design data-driven solutions, lead experimentation, communicate insights, and operationalize solutions for business impact.

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 role involves developing and managing complex data sets, creating dashboards, and analyzing data for operational efficiency in healthcare. Collaboration with clinical and IT teams is essential to optimize patient outcomes and processes.