Top Data & Analytics Jobs in Rochester, NY

As a GCP Data Engineer Manager, you'll lead data engineering projects, develop data architectures, mentor teams, and enhance data solutions for clients.

The Senior Brand Data Analyst will design and implement data systems for invoicing, ensure financial data accuracy, and create reporting frameworks.

As a Machine Learning Engineer, you'll enhance ML productivity, improve model deployment, and implement algorithms for credit decisioning systems.

As a Staff Data Analyst, you will influence Upstart's capital strategy by collaborating with teams across the organization, developing financial models, and mentoring junior members.

As a Product Data Analyst, you will analyze user engagement across platforms, support product strategies, and maintain data integrity for dashboards and events tracking.

This role involves analyzing insurance product initiatives, building analytical frameworks, and providing insights on growth and profitability.

The role involves leveraging analytics for operational support, developing forecasting methodologies, and providing insights to improve efficiency and support strategic planning.

The Manager, Data Scientist will drive data-informed business decisions, develop machine learning models, and collaborate cross-functionally to enhance customer value and growth.

The Data Analyst will engage with customers to define business objectives, analyze data, create reports, communicate findings, and improve processes. The role requires collaboration across teams and a focus on quality and efficiency in data analytics.

The Director of Marketing Analytics will develop growth plans, drive business insights through data analysis, lead global teams, and enhance analytics frameworks to optimize revenue and efficiency.

The Senior Data Analyst will focus on product reliability analytics, root cause analysis, metric definition, and presenting insights to stakeholders.

The Lead Domain Architect leads customer engagements in data management, overseeing implementation, integration, and guiding teams to deliver scalable data solutions while ensuring customer success.