Top Senior Data & Analytics Jobs in Boston, MA

The Staff Data Engineer will build and manage a data lake, optimize data pipelines, collaborate with teams, and support AI projects while ensuring quality data solutions.

The role involves leading teams to develop AI solutions addressing sustainability challenges, managing client accounts, and upholding ethical standards in technology integration.

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 Associate Director, Biostatistics is responsible for statistical guidance in clinical study design, data analysis, and regulatory submissions, leading clinical study teams to ensure timely and quality outcomes.

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

The Senior Financial Business Systems Analyst will lead system implementations, design technology solutions, and mentor team members while collaborating with Finance and Sales operations to optimize financial processes.

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 Senior Platform Engineer will support Workday functional configurations, improve processes, and provide troubleshooting and documentation for HR technology solutions.

The Senior Analyst of Technology Risk will implement and mature the risk management program, analyze risks, manage the lifecycle of risks, and communicate findings to leadership. Responsibilities include maintaining risk registers, executing assessments, and collaborating across teams to scale risk frameworks.

Lead the analytics engineering team, build data models, ensure data quality, leverage AI for analytics, and empower product teams with insights.