Top Senior Level Analytics Jobs in Rochester, NY

The Senior Business Intelligence Analyst will design and implement data visualizations, maintain tools for presenting complex data, interpret results from various data sources, and improve data processes. The role involves collaboration with developers, supporting business objectives, and ensuring data quality.

Looking for an experienced Manager of Audit Analytics to contribute to the ongoing development of the Internal Audit function by implementing Continuous Auditing and Data Analytics capabilities.

The Senior User Experience and Analytics Lead will design user experiences for Risk Ripple Analytics. Responsibilities include producing wireframes, optimizing user experiences, analyzing engagement metrics, and applying design thinking to enhance the product. The role involves collaboration with stakeholders and engineering, as well as conducting user research to inform design improvements.

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.

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.