Top Remote Data & Analytics Jobs in Rochester, NY

The Technical Business Analyst supports the EDPlan Innovations Team by gathering business requirements, writing specifications, performing user acceptance testing, and managing defects/support tickets. The role includes coordinating with development and QA teams, training users, and participating in product troubleshooting while ensuring timely completion of technology tasks.

As a Sr. AI Insights Engineer, you will analyze AI products' real-world performance and communicate insights. Responsibilities include building dashboards, creating data models, supporting machine learning model development, and collaborating with different teams to enhance AI product outcomes.

The Business Systems Analyst will lead the design and deployment of Anaplan models to enhance Sales, HR, and Finance planning. Responsibilities include ensuring data integration, automating forecasting and budgeting, and collaborating with business leaders to optimize processes.

The Data Scientist will analyze structured and unstructured data using advanced statistical algorithms, machine learning, and big data techniques. They will perform large-scale experiments, build data-driven models, visualize results, and communicate findings to both technical and non-technical audiences. This role requires collaboration with product teams and a focus on enhancing analytics capabilities within the organization.

The Modeling Associate will translate complex logic specifications into decision models and diagrams using DMN conventions, ensuring high-quality implementation to meet client expectations. Responsibilities include comparing feedback on logic specifications, reviewing models, and assisting in identifying issues during testing.

The Business Analyst IV is responsible for analyzing business processes and technologies to identify improvement opportunities. This role includes maintaining business systems, providing technical support, conducting audits, and developing reports to support operational efficiency. The analyst also collaborates closely with cross-functional teams and guides junior staff to enhance overall business performance.

As a Sr. Analytics Engineer at Pacific Life, you will build analytical pipelines to automate data flows and develop predictive algorithms. Responsibilities include discovering data requirements, designing and implementing analytics solutions, interpreting and visualizing complex data, and providing technical leadership. You will collaborate with business stakeholders to enhance data accessibility and drive innovative solutions.