Top Analysis Reporting Jobs in Rochester, NY

The Pricing Advisor will help multifamily customers maximize revenue and optimize occupancy using revenue management software by providing strategic recommendations based on market data analysis.

The Product Data Analyst at Counterpart Health will analyze product metrics, design experiments, and deliver insights to optimize healthcare outcomes and support primary care.

As a Senior Data Analyst, you'll analyze complex datasets to provide actionable insights for marketing and business strategy. You will collaborate with various teams to optimize client performance, build forecasts, and support ongoing metric analysis.

As a Senior Data Scientist, you will drive product analytics and experimentation, develop metrics, and collaborate with cross-functional teams to inform strategic decisions.

As the Director of Data Strategy, you will create and implement data-centric strategies to drive business performance and marketing transformation for clients, leveraging your expertise in data insights and technology.

The Manager will lead client projects in Data and Analytics, focusing on strategy formulation, process automation, and data visualization, collaborating with various stakeholders.

Manage client projects focused on data transformation and analytics, developing solutions using various tools, while maintaining strong communication with stakeholders.

The Data Analyst will document data definitions, create dashboards, manage datasets, assist with UAT, and support data flow validation for business analytics.

Trace3 seeks enthusiastic individuals for its Data Intelligence Team. The role focuses on innovative technology solutions and consulting services, fostering a collaborative and dynamic work environment.

The Business Intelligence Analyst II role focuses on analyzing data, providing intelligence to business decision-makers, creating reports and dashboards, and ensuring data quality across departments. This position requires advanced analytics skills and expertise in data visualization tools.

Serve as a subject matter expert for data requests and system updates: design database structures, build and maintain data pipelines, write and optimize SQL, clean and transform data with SQL and Python, create dashboards and visualizations, analyze large datasets, and automate processes to improve data quality and workflows.