Top Data & Analytics Jobs in Boston, MA

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.

As a Lead Analyst, you will optimize trading analytics by assessing exchange performance, developing analytical frameworks, and collaborating with teams to enhance trading strategies and customer experience.

Lead digital measurement strategy for web and digital marketing. Build and maintain dashboards, integrate multi-platform data, perform tagging QA, run A/B test analyses, and deliver insights to optimize campaign effectiveness, UX, and ROAS.

Join the Data Science Co-Op at Bose to engage with stakeholders, build predictive models, and explore data related to audio technology innovations.

The Data Engineer II will design data models, build ETL pipelines, collaborate with teams, and ensure data flows are efficient and well-monitored. A strong understanding of SQL, Python, and cloud technology is essential.

The Senior Data Engineer will develop data governance frameworks, ensure data quality, manage tools for metadata and lineage, and collaborate with teams for data policies and training.

Lead design and delivery of analytics and reporting for the Infrastructure & Automation portfolio. Build dashboards, data architecture, measurement frameworks, and automated pipelines; produce executive insights, KPI tracking, self-service analytics, and ad hoc analyses to inform strategic decisions and demonstrate business impact.

Responsible for payments pricing analyses, internal and external communications regarding pricing, sales support, and operational process improvements for Toast Payments.

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 Portfolio Lead will oversee data management services for clients, ensuring quality deliverables, strategic oversight, and optimal clinical data flows, while leading cross-functional teams and managing complex client relationships.