Top Data & Analytics Jobs in Boston, MA

The EDI Systems Analyst II collaborates with business units to manage EDI requirements, analyze processes, ensure compliance, and communicate project priorities. They lead requirement gathering sessions and improve workflows while partnering with developers.

This leadership role entails managing reserving and loss analytics, co-leading M&A integration, overseeing reserve adequacy, and providing insights to the executive team. It requires collaboration across departments to drive strategic initiatives and improve analytical tools.

The Compliance Specialist manages regulatory complaints, audits, and examinations while supporting compliance policies and performing controls testing in the financial services sector.

The Marketing Analyst will develop a unified measurement framework, lead marketing mix models, evaluate brand performance, and create automated dashboards to optimize marketing investments and provide actionable insights.

The Data Engineer will build scalable data pipelines, support infrastructure for analytics, and collaborate with teams to drive insights in healthcare data.

The Business System Specialist will manage LIMS master data, provide end-user support, ensure compliance, and assist in process development for lab data management.

The Director oversees Market Access strategies, focusing on pricing, contracting, and reimbursement through advanced analytics. Responsibilities include stakeholder alignment, financial modeling, and cross-functional team collaboration to enhance patient access and support business growth.

The Director of Research will lead systematic equity research, drive innovative investment ideas, mentor a research team, and engage in client collaboration.

The role involves analyzing performance metrics, collaborating with teams on initiatives, and using technical skills for automation and reporting.

The Advanced Data Analytics Lead will drive data-driven decision-making in the pharmaceutical sector, lead project teams, develop client relationships, and leverage data analytics and AI solutions to tackle complex business problems.