Top Data & Analytics Jobs in NYC, NY

The role involves developing statistical models and analyses to address client business issues, guiding decision-making with data insights and mentoring associates.

Develop and implement advanced algorithms, apply statistical techniques, collaborate with clients, assess technologies, and mentor team members.

Perform quantitative analyses and build advanced statistical models using tools like R, SAS, SQL, and Excel. Design custom analyses, synthesize findings for clients, support project management, develop client relationships, mentor junior staff, and contribute to Value & Access strategy for life sciences clients.

Design and apply advanced statistical models and custom analyses using R, Tableau, SAS, Visual Basic and Excel to inform client decisions. Synthesize and present findings, create deliverables, manage project status, build client relationships, mentor associates, and implement solutions while contributing to ZS's analytic capabilities.

Provide data advisory services to client teams, maintaining expertise in healthcare data, managing data partnerships, and supporting data strategy projects.

As a Decision Analytics Associate Consultant, you will develop statistical models, apply analytic techniques, and communicate results to clients. You will also design custom analyses and guide team projects while mentoring Associates and maintaining client relationships.

As a Decision Analytics Consultant, you'll leverage RWD and RWE analytics to support pharmaceutical clients by generating insights and conducting analyses for evidence generation and HEOR studies.

The Quantitative Methodologist Expert will design and deliver complex quantitative research solutions, applying advanced methodologies to address business questions and drive data-driven outcomes.

The Decision Analytics Associate Consultant will support clinical data strategies, analyze clinical trial data, and collaborate with cross-functional teams, ensuring adherence to industry standards.

Lead analytics workstreams for health plan clients: define problems, analyze data, build models and dashboards, synthesize insights into strategic recommendations, manage client relationships, and collaborate with teams to deliver actionable solutions.