Top Remote Senior Level Data & Analytics Jobs in Boston, MA

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.

The Senior Business Analyst will analyze enterprise workflows, define business requirements, and manage program delivery, ensuring alignment with strategy and governance.

The Associate Principal will translate client needs into analytical specifications, ensure quality control of analytical outputs, and deliver clear insights while overseeing methodologies and clinical context research.

As a Senior Data Engineer, you will enhance data products, build automated data pipelines, and improve data platform capabilities, collaborating with various teams to drive initiatives.

The Tag Manager will oversee and optimize Rula's tagging ecosystem, ensuring accurate data capture and collaborating cross-functionally to enhance analytics capabilities and data trust.

Manage and validate financial models, ensuring accuracy and compliance. Collaborate across teams to improve model performance and frameworks.

Lead development of analytics platforms at GameChanger, enhance BI tools, define metrics, and contribute to data modeling for insights.

The Solutions Consultant will analyze deal economics and performance metrics, educate partners about Upstart products, and collaborate with multiple teams to drive partner adoption and strategic decisions.

As a Principal Data Analyst, you'll lead credit analytics efforts, develop forecasting models, and collaborate with multiple teams to enhance Upstart's credit platform.

Lead the development of analytics solutions across operations, manage a team of analysts, and drive operational excellence and decision-making through data insights.

As Lead Data Engineer, you will guide a team, manage the data platform, and oversee the development of ML infrastructure and feature stores.