Top Data & Analytics Jobs in Rochester, NY

Lead the design and implementation of innovative data models for finance and actuarial use cases, mentoring team members and fostering client interactions.

As a Senior Data Analyst, you will translate business needs into data-driven insights, perform strategic analyses, and create visualizations and dashboards using SQL and BI tools.

As a Senior Data Analyst, you will partner with business teams to analyze data, create visualizations, automate processes, and derive insights to drive business impact.

As a Senior Data Analyst at Circle, you will partner with business, conduct analyses, create visualizations, and develop scalable automation solutions to drive business insights.

The Senior Manager of Analytics Engineering will lead a team to develop data infrastructures, ensure operational efficiency, and align with cross-functional partners to support strategic decisions.

As a Lead TMS Compliance Analyst III, you'll conduct Transaction Monitoring investigations, draft SARs, and ensure compliance with regulatory standards.

This role oversees a team that analyzes MetLife's mortgage portfolios, delivers high-impact analytics, and collaborates with various stakeholders for reporting and compliance.

The Sr. Pricing and Monetization Analyst will develop pricing models, conduct market analysis, support deal monetization, and automate KPI dashboards to optimize pricing strategies and revenue.

The Data Analytics Engineer will manage data integration, create dashboards, analyze healthcare data, and support decision-making in a collaborative environment.

The Lead Analyst for Operational Strategy will enhance underwriting efficiency by partnering with leadership, leading analysis, optimizing processes, and mentoring junior analysts.

This role involves advanced data transformations, analysis and visualization to support financial and operational insights, particularly in a B2B SaaS environment.

Design and maintain scalable data pipelines, collaborate with cross-functional teams, manage data architectures, optimize Snowflake performance, and enhance data workflows.