Top Senior Data & Analytics Jobs

Lead scaling of a commercial channel data management platform for oncology/hematology. Manage vendor and data provider relationships, design data pipelines and governance, improve data quality, oversee data aggregation and provisioning for commercial insights, and ensure compliance, security, and documentation.

The DataOps Lead is responsible for ensuring the operational reliability and quality of cloud-based data platforms, overseeing data pipelines, monitoring data accuracy, and leading incident response while collaborating with various teams.

The Senior Quantitative Researcher will lead projects to enhance trading performance by developing real-time trading models and solutions for options trading, collaborating with traders and researchers.

The Data and Reporting Architect will lead the design of data architectures and reporting systems, addressing complex data challenges and ensuring compliance with regulatory standards. Responsibilities include mentoring engineers, defining data quality frameworks, and collaborating with various teams to implement scalable solutions.

The Databricks Data Engineer will design and implement ETL pipelines, manage data ingestion processes, and collaborate with business teams to create analytics solutions.

The Business Analyst III will develop data analytics solutions to enhance decision-making and improve operational efficiency in Manufacturing Operations. Responsibilities include data modeling, ETL pipeline development, dashboard creation, and collaboration with cross-functional teams for data-driven insights.

The Senior Business Analyst will analyze business issues, gather requirements, and design IT solutions for the P&C insurance sector, collaborating with multiple teams to enhance policy administration systems.

The Senior Manager, Clinical Data Management oversees clinical data projects, supervises data managers, ensures regulatory compliance, and develops relationships with partners.

The Data Governance Lead will manage product data strategies, develop data governance frameworks, enhance data democratization, and drive cross-functional collaboration for data quality and usability.

Oversee technical SEO work for clients, manage teams, define objectives and measure success against KPIs, while mentoring team members and ensuring high-quality delivery.