Top Senior Level Data & Analytics Jobs in Rochester, NY

This Data Analyst role at Cloudflare involves partnering closely with internal stakeholders to understand analytical needs, improving data collection and quality, designing and supporting data solutions, and presenting key insights in a concise manner. The role requires a Bachelor's or Master's degree in Computer Science or Engineering, 5+ years of data analyst experience, and strong skills in Python, R, SQL, and data analytics tools.

As a Principle Analyst in Business Intelligence, you will create and maintain executive dashboards, collaborate with cross-functional teams to analyze business needs, ensure data integrity, and document various business metrics and their sources. You will leverage expertise in data analysis and visualization to enhance how stakeholders interact with data-driven insights.

Lead the Enablement team at Jellyfish, guiding data scientists and engineers in producing analytics, insights, and tools to inform product and business strategies. Deliver self-serve analytics capabilities, support executive reporting with bespoke analyses, and maintain analytics infrastructure while fostering a culture of data-driven decision-making.

As a Senior Data Analyst, you will collaborate with product management and engineering leaders to define metrics for product performance. Your role includes developing data dashboards, partnering with data infrastructure teams, and conducting experimental design for performance attribution of product features.

As a Senior Data Scientist II, you will analyze healthcare data, create insights, and develop data products. You will collaborate with product and engineering teams to define models for healthcare challenges and contribute to AI and NLP projects while ensuring data processes are executable in production.

The Sr. Data Expert will lead analytics processes using complex tools to develop optimized analytical solutions for AML operations. Responsibilities include overseeing data assets, ensuring compliance with governance standards, and analyzing results to advise management. Strong communication skills and a background in KYC and data quality management are critical.

As a Big Data DevOps Lead, you will improve efficiency in Big Data infrastructure, coordinate initiatives across teams, lead architecture design efforts, ensure system reliability, and support operational tools while also providing on-call support.