Top Remote Data & Analytics Jobs in Rochester, NY

This role involves defining data platform standards and integration patterns, mentoring engineers, and maintaining best practices in Azure and Databricks environments. The lead will ensure efficient data management and governance across global teams while advocating for DataOps and CI/CD practices.

The Actuary will drive pricing strategies, transform technical analyses into actionable insights, and support pricing processes while collaborating with cross-functional teams.

The Director of Data & Analytics will lead the Data & Analytics team, define product strategies, ensure quality outcomes, and drive user adoption of data products. They will act as a technical lead in customer interactions while balancing various internal and external data-related priorities.

The Product Analytics Data Scientist will enhance algorithms based on customer needs, optimize grocery orders, and support data use for improved ordering performance.

The job involves leveraging AWS and Snowflake for data engineering tasks within a technology-focused company, requiring US residency.

This role focuses on driving data-driven decisions in Paid Media strategies by analyzing performance metrics, optimizing media investments, and collaborating with various teams to enhance customer acquisition.

The Data Product Associate will manage data quality, resolve issues, collaborate on solutions, and deliver data products for clients.

The Senior Customer Lifecycle Analyst will enhance marketing performance by leveraging technical expertise in customer lifecycle management, evaluating campaign effectiveness, and providing strategic insights to optimize marketing strategies.

The Manager of RevOps/Yield analyzes patterns and data to optimize ad operations, manage vendor relationships, and oversee a remote team for revenue generation.

Lead the design of a secure, governed Data Lakehouse platform for FinTech, focusing on data protection, integration, and governance. Responsibilities include implementing security strategies, managing data pipelines, and ensuring compliance with data regulations.