Top Senior Level Data & Analytics Jobs in Rochester, NY
The Senior Scientist will develop quantum chemistry algorithms, collaborating with cross-functional teams to create optimized quantum workflows and address real-world problems using IonQ's quantum computers, while building reusable software platforms.
The Senior Marketing Analyst will analyze marketing data to identify trends and enhance strategies, develop dashboards to track KPIs, and collaborate on customer segmentation. This role requires strong analytics skills and the ability to present actionable insights to stakeholders.
The Sr. Data Engineer-GCP designs, develops, and integrates data applications on Google Cloud Platform. Responsibilities include building data processing systems, automating data pipelines, leading unit testing, adhering to quality standards, and implementing process improvements. The role leverages machine learning and collaborates with internal and external resources to support reporting and analytics needs.
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The Senior Systems Analyst for Billing & Collections will support and optimize billing systems, ensuring efficient operations and compliance with financial policies. The role involves translating business requirements into software solutions, collaborating across technical teams, and improving product quality through testing and analysis.
As a Senior Data Scientist at Monte Carlo, you will lead the development of production-grade ML algorithms, manage ML projects from concept to deployment, and solve complex problems related to anomaly detection and prediction in a fast-paced startup environment.
As a Senior Data Engineer at Dandy, you will design and maintain data infrastructure, own end-to-end data pipelines, and collaborate with stakeholders to ensure reliable data solutions. You'll mentor junior engineers and continuously improve systems to enhance data-driven decision-making across the organization.
As a Senior Revenue Operations Analyst, you will oversee sales process planning and optimization, ensuring data accuracy in Salesforce and improving revenue operations. Key responsibilities include opportunity management, data analysis, and reporting, collaborating with sales and IT teams to enhance processes and outcomes.
The Sr. Workday Analyst will design, implement, and support Workday modules, enhance system accuracy and efficiency, provide data reporting, resolve Workday and Kronos escalations, train HR staff, and collaborate with HR partners to meet system requirements.
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
As a Senior Risk Data Analyst, you'll build dashboards and analyze data sets using SQL and Python, collaborating with Risk, Compliance, and Legal teams to develop reports. You'll enhance data insights, communicate technical concepts to stakeholders, and focus on risk metrics and business requirements.
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