Top Hybrid Data & Analytics Jobs in Boston, MA

Manage data for clinical trials, ensuring high standards of data quality, collaborating with colleagues, and developing data cleaning reports while documenting lessons learned.

The Data Scientist will conduct advanced analytics, focusing on care gaps and segmentation of healthcare professionals using real-world data. Responsibilities include planning analyses, preparing datasets, developing predictive models, and collaborating with product managers to communicate insights.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

Lead the development and deployment of data solutions with Palantir Foundry, driving projects, mentoring teams, and engaging with clients to solve complex problems.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

Manage program governance and oversee multiple consulting engagements. Develop project plans, ensure timely delivery, and maintain client relationships. Foster business development through understanding client needs and supporting proposal development.

As an Analyst I on the Casino Product Analytics team, you'll analyze data to drive product strategy, evaluate performance, and guide product development through insights and recommendations.

The Senior Financial Business Systems Analyst will lead system implementations, design technology solutions, and mentor team members while collaborating with Finance and Sales operations to optimize financial processes.

Lead data science projects to optimize drug development using AI. Develop models for patient selection and clinical trial evaluations while collaborating with cross-functional teams to drive insights.

The Senior Revenue Operations Analyst will support go-to-market teams with insights and reporting, optimize processes, and analyze revenue trends to drive operational efficiency and revenue growth.

Lead GRS Data & Analytics technology for business insights: own executive reporting, build shared BI/MI capabilities, drive MDM adoption, ensure trusted scalable reporting, and lead a cross-functional insights team to embed analytics into business routines.

Lead Analytics Engineer responsible for data modeling, transformation, pipeline orchestration, quality governance, and empowering data-driven decisions across the organization.

The actuary will conduct complex analyses, recommend actuarial assumptions, support governance committees, communicate findings, and enhance analytics processes.