Top Remote Senior Level Analytics Jobs in Rochester, NY

The Senior Analyst II will quantify and communicate Included Health’s value to clients, focusing on data analysis and generating insights. Responsibilities include developing scalable reporting packages, automating reports and dashboards, and collaborating with cross-functional teams to optimize business strategy and client retention. This role utilizes SQL, Python, and various tools for data visualization and communication.

The Data and Integrations Consultant will lead the delivery of integration services by providing guidance and support to customers, ensuring seamless data flow between their CRM and ERP systems and AcuityMD's platform. Responsibilities include troubleshooting, maintaining integrations, and collaborating with internal teams to develop tailored solutions while identifying opportunities for upselling consulting services.

As a Senior/Staff Data Scientist, you will process large datasets into strategic insights, design machine learning models, and perform statistical analyses for product and leadership teams. Responsibilities include evaluating ML opportunities, mentoring mid-level data scientists, and collaborating with product and engineering teams. You will also communicate technical findings to various stakeholders and contribute to the development of the company's data science capabilities.

The Workday Senior HRIS Analyst provides business and technical direction, troubleshoots data integrity issues, develops functional and technical requirements, conducts data analysis, leads projects, and improves processes for HR and BMC.

As an Operations Analyst Manager at Fetch, you will solve complex challenges in the scan-and-match space, manage a team of analysts, and collaborate with software development teams to develop scalable solutions. Success requires strong SQL skills, problem-solving abilities, and effective communication.

The Technical Analyst Lead will oversee system and infrastructure operations, provide technical direction to improve workflows, manage hardware and software deployments, and ensure successful integration of critical projects, all while working with multiple teams.

As a Senior NLP Data Science Researcher, you'll utilize advanced AI techniques to work on novel healthcare projects, focusing on training NLP and LLM models, building Python-based inference pipelines, and conducting data analysis and model validation.