Top Data & Analytics Jobs in Rochester, NY

The Business Intelligence Analyst will analyze pharmaceutical transaction data, develop visual data models, and collaborate cross-functionally to drive insights and improvements in business strategies.

The Lead Data Engineer drives enterprise-scale data solutions, oversees project scoping, and leads a team, ensuring best practices in data engineering.

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 role involves developing and managing complex data sets, creating dashboards, and analyzing data for operational efficiency in healthcare. Collaboration with clinical and IT teams is essential to optimize patient outcomes and processes.

The Performance Senior Analyst will develop a learning agenda for new content categories, track experimentation analyses, and partner with merchandising teams to optimize content performance and member interaction.

The Associate Conversion Data Analyst will extract, analyze, and map client data from legacy databases to Bloomerang databases, while translating technical requests and providing documentation for data conversions.

The Pricing Systems Lead will build the analytical foundation for pricing, design pricing experiments, connect pricing systems, and provide commercial insights to optimize the pricing strategy across Nivoda's platform.

As a Senior Data Analyst, you will translate business requirements into technical data specifications, manipulate large datasets, and support data initiatives while partnering with clients and teams to improve data quality and governance.

The Senior Analytics Engineer will architect a unified data model, develop scalable dbt models, enhance data governance, and enable advanced analytics for strategic decisions.

The Senior Director Analyst in MDM leads research and advisory functions, focusing on Master Data Management strategies and providing clients with actionable insights to enhance their data initiatives. This role requires strong analytical skills and the ability to communicate complex concepts effectively.

As a Revenue Optimization Manager, you will leverage data insights and cross-functional collaboration to enhance partner revenue and performance while leading strategic initiatives across teams.