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

The role involves strategic finance and analytics, leading initiatives, driving data-driven insights, and aligning cross-functional teams to enhance business performance in Upstart's Auto business.

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

This role involves analyzing customer data to provide insights that enhance customer retention and satisfaction, building reports and dashboards, and influencing customer success strategies.

As Senior Manager Market Research & Intelligence, lead market intelligence efforts, execute primary research, conduct competitive analysis, and synthesize insights to inform strategy, drive revenue, and improve sales effectiveness.

As a Staff Data Analyst, you will leverage extensive datasets to optimize AI products, inform data team strategy, and collaborate on data projects from ingestion to analysis.

Manage a team of data analysts and scientists focused on Circle's payments products and compliance efforts, ensuring data quality, impactful reporting, and cross-functional collaboration.

The Senior Clinical Data Manager will oversee clinical trial databases, ensuring adherence to timelines, quality of deliverables, and coordination among study teams. Responsibilities include database design, project oversight, training, and resolving data issues.

The Staff Data Analyst will facilitate data-driven decision-making, collaborate with various teams, build data solutions, and mentor team members to enhance analytics capabilities at Jellyfish.

Lead the Supply Intelligence function, driving strategy, execution, and partnerships to optimize auction performance and revenue growth while coaching a team of analysts.

The Senior Data Analyst will lead churn analysis and customer success metrics, providing insights to improve retention strategies and customer satisfaction. Responsibilities include conducting deep-dive analyses, working with cross-functional teams, and developing predictive frameworks.