Top Data & Analytics Jobs in Rochester, NY

The Financial Systems Analyst manages NetSuite, optimizes business system performance, supports users, ensures data integrity, and collaborates on process improvements.

The Assistant Manager will lead data governance and analytics initiatives, overseeing the data warehouse infrastructure, analytics processes, and ensuring compliance and quality in data management.

The Director of Reporting and Data Management oversees data infrastructure for Workforce Management, establishing objectives, managing teams, ensuring data storytelling aligns with strategy, and leading predictive modeling efforts.

The Supply Chain Systems Analyst will gather requirements, manage user access, analyze data, test software, document issues, and provide training for Supply Chain systems.

The Systems Administrator supports IT infrastructure through system maintenance, troubleshooting, user support, and various administrative tasks, while collaborating with senior staff to expand technical skills.

The Manager of Marketing Analytics will optimize marketing performance, conduct data analyses, present insights, and collaborate with cross-functional teams.

The Senior Data Analytics Engineer will integrate data sources, develop data pipelines, ensure data quality, and mentor teams on analytics processes.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

The Analytics Manager analyzes complex datasets, builds models, conducts scenario analyses, and provides strategic recommendations to guide decision-making for leadership.

The Data Services Manager will oversee data movement and processing, ensuring accurate data for mail files, handling file conversions, data cleansing, and providing analytical reports. The role involves collaborating with clients and teams to troubleshoot and address data-related issues.

The Fraud & Risk Analyst will conduct investigations of suspicious activities, collaborate with various teams, and enhance fraud detection processes to protect clients and the company.