Top Remote Data & Analytics Jobs in Rochester, NY

The Senior Strategic Analyst will diagnose performance issues, execute strategies for recovery, influence product development, and communicate insights effectively across teams.

Lead statistical consulting and programming for clinical trials: design and finalize SAPs, develop randomization and IVRS specs, create and validate ADaM/SDTM analysis datasets, generate tables/listings/graphs, perform analyses (including interim/blinded), mentor/QA programmers, and support regulatory reporting and ad-hoc analyses.

As a Staff Data Analyst, you'll drive data analysis, build business intelligence tools, and collaborate across teams to optimize Upstart's servicing strategy, while mentoring junior analysts.

The Lead Data Governance Specialist manages data integrity and accessibility across platforms, driving best practices, collaboration, and compliance in healthcare analytics.

As a Digital Innovation Co-Op, you'll work on projects involving AI and machine learning to enhance supply chain operations, collaborating with engineers and data scientists to automate workflows and analyze data.

As Senior Manager, Compliance Product Data, you'll build and lead a team focused on compliance data governance and product management. You will ensure data integrity within compliance systems while collaborating across engineering and compliance teams, driving compliance initiatives and strategic product ownership.

Analyze auction data to identify performance drivers and risks, collaborate with commercial teams, and provide actionable insights to optimize DSP outcomes.

As a Lead Analyst, you'll optimize trading performance by assessing exchanges, building analytical frameworks, partnering with traders, and developing dashboards.

The Senior Analyst will maintain quality in personal lines insurance products by developing testing tooling, implementing processes, and serving as a technical product expert.

As a Staff Data Engineer, you will design and optimize data infrastructure, collaborate with stakeholders, ensure data quality, and provide technical leadership while owning architectural improvements and driving operational excellence.