Top Hybrid Data & Analytics Jobs in Boston, MA

The role leads Clinical Data & Information Sciences in drug development, ensuring data integrity, compliance, and continuous improvement while collaborating with cross-functional teams to enhance business processes and experience.

The Associate Business Systems Analyst supports data systems design, gathers requirements, documents processes, and collaborates with teams to improve systems and explore AI applications.

The Platform Engineer, ClickHouse administers and secures ClickHouse clusters, manages Kafka ingestion, integrates with AWS, and ensures CI/CD practices. Responsibilities include schema management, access control, and cluster health monitoring.

Manage the data architecture and strategic planning for the Sales team, optimizing processes through data and AI for targeting accounts and pricing strategies.

The Analytics Engineer will build and optimize data transformation models, assist with BI tools, support stakeholders, document processes, and implement AI tools, contributing to a data platform under mentorship.

As a Statistical Researcher, you'll analyze insurance claims data, validate modeling methodologies using R or C++, and communicate findings to internal and client-facing teams.

The Senior Relativity Archiving Analyst will vet, archive, and purge Relativity workspaces and file shares, collaborating with management and documenting the approval process for archived data.

The Senior Database Administrator will manage Microsoft SQL Server, including migration, performance tuning, system administration, and virtualization technologies, while providing comprehensive support and documentation.

The Power BI Developer will build enterprise data models using Power BI, develop self-service analytics, and assist business users with requirements while ensuring application security. The role requires collaboration with government personnel and technical expertise in Azure and SQL.

The Sr. Analyst II will extract and analyze data insights, assist clients in understanding metrics, support project goals, and improve client service.

Oversee client proposals and projects, enhance data processes, drive client engagement, mentor teams, and contribute to organizational development in the life sciences sector.

Manage ETL processes, integrate data, optimize databases, and ensure data quality for analytics, supporting operations and maintenance projects.