Top Senior Level Data & Analytics Jobs in Rochester, NY
The Senior ERP Systems Analyst is responsible for implementing and enhancing GHX processes using cloud-based ERP systems like Infor, Workday, and Oracle. This role involves integration strategies, solution design, project management, mentoring junior members, conducting data analysis, and providing training on ERP functionalities. The analyst also serves as a communication bridge between various teams to ensure effective ERP configuration and optimization.
The Director of Analyst Relations will lead BlackLine's program to influence analysts and enhance the company's ratings in industry studies. This role involves relationship management with key analysts, project management of research submissions, and content creation, ensuring alignment with BlackLine’s strategic vision in finance and accounting.
Lead data science projects related to consumer pricing and optimize pricing systems. Provide mentorship and technical guidance to peers while building advanced forecasting and bidding systems that impact customer prices directly.
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The Marketing Technology Data Engineer will design and build data solutions for managing and integrating real-time and batch data, focusing on data quality and availability for enterprise clients. The role involves developing data pipelines, implementing CI/CD processes, and collaborating with teams to meet client needs while leveraging Google Cloud services.
The Director, Data Integration will oversee claims data integration, ensuring accurate and timely data integration across systems. This role involves leading a team of data engineers, shaping data strategy, engaging in product development, and collaborating closely with clients to drive successful data initiatives.
The Senior Software Engineer role entails developing web applications and APIs within an Agile Scrum team. Responsibilities include collaborating on new features, solving technical problems, mentoring colleagues, and leading technical projects while adhering to coding standards and best practices.
The Senior Data Engineer will lead the development of high-impact products, collaborate with Finance and Accounting teams, and take ownership of data services lifecycle. Responsibilities include architecting data models, resolving data integrity issues, and ensuring data solutions align with business needs.
The Machine Learning Engineer at Liftoff will develop and train algorithms for real-time bidding, analyze inventory performance, and oversee experiments for optimization strategies. The role involves enhancing existing ML infrastructure, collaborating with engineering teams on data pipelines, and fostering a culture of engineering excellence.
As the Director of Data Science and Analytics at Mixbook, you will lead the analytics team, develop statistical models, oversee business analysis, and implement data-driven strategies to enhance business performance and growth in a fully remote environment.
The Senior Data Analyst at Doximity will analyze extensive datasets to identify patterns among medical professionals and create analytics for products and clients. They will inform data team strategies, collaborate on data projects, and utilize statistical concepts, SQL, and Python for data analysis and visualization.
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