Top Remote Data & Analytics Jobs in Rochester, NY

Lead clinical data review for studies, ensuring the interpretation of efficacy and safety data, and collaborating with cross-functional teams.

The ClinSpark System Project Manager will develop and manage ClinSpark initiatives, ensure compliance, support continuous improvement, and assist in training staff.

The Senior Business Intelligence Analyst will architect critical analytical frameworks, provide insights for decision-making, and mentor junior analysts while collaborating across teams.

The Analyst will oversee claims audits, ensure compliance with insurer requirements, and analyze loss data to reduce exposure for the company.

The Senior Analyst oversees QC and audits of loss analysis files, ensures compliance with regulations, manages workloads, and assists in technology updates, while serving as a liaison with external clients and internal teams.

As a Senior Data Engineer, you will implement and optimize Google Analytics systems for accurate user behavior measurement across platforms, ensuring scalability and data accuracy.

The Business Intelligence and Analytics Manager is responsible for developing and improving the reporting environment using Microsoft Power BI, ensuring alignment with business needs, and providing insights for decision making.

Design, build, and maintain scalable data pipelines and tooling to support AI and analytics. Manage datastores (MySQL, Redshift, OpenSearch), implement AWS-based ETL/ELT solutions, collaborate with data science and product teams, and ensure data quality, automation, and production reliability.

The Senior Analyst of People Analytics will manage Visier platform, support data pipelines, validate data accuracy, and develop self-service dashboards ensuring analytical integrity across employee lifecycle processes.

The Director, Client Insights will drive client growth through data analysis, deliver insights, and collaborate across teams to support client success.

As a GIS Specialist, you will apply geospatial analysis techniques, manage databases, and collaborate with engineers and scientists on projects.

Lead the development of reporting and analytics tools in Tableau, providing insights for decision-making and managing inbound data ingestion. Act as a Tableau expert and mentor for the team, ensuring a strong user experience and collaboration with analytics engineering.