Top Data & Analytics Jobs in Boston, MA

The role involves leveraging data analytics and advanced techniques to provide client insights, manage financial data, mentor juniors, and uphold quality standards.

The Advanced Analytics Manager will drive growth at ZS by applying technical expertise to drug discovery, managing projects, and building client relationships.

As a Data Office Manager, manage data strategy in the healthcare landscape, collaborate with teams and stakeholders, and oversee project management while leading a diverse team.

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.

The intern will conduct economic research, develop data analysis skills, and work on projects with economists and analysts at the Boston Fed.

Support sustainability initiatives through data analysis, provide strategic recommendations, collaborate with stakeholders, and manage analytical tools to drive performance.

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.

This role oversees the design and evolution of finance reporting solutions using Power BI, collaborating with global finance teams to create scalable analytics and insights.

The Data Program Associate/Manager will identify data acquisition opportunities, collaborate with product teams on datasets, and build AI systems for data improvement.

The Senior Business Intelligence Engineer will design, develop, and optimize BI dashboards and reports using Amazon QuickSight, engaging with stakeholders and mentoring junior team members.

The Senior Analytics Engineer focuses on building and managing people data solutions to enhance employee experience and organizational health, creating reliable data products, and partnering with leadership to inform decisions.

Assist in developing and maintaining data pipelines and models, conduct data wrangling, and support dashboard creation. Ideal for university students eager to learn.