Top Hybrid Data & Analytics Jobs in Boston, MA

As a Business Analyst, you will drive process optimization by collaborating with teams, analyzing current operations, and implementing innovative solutions using AI and automation tools.

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.

Manage the data architecture and strategic planning for the Sales team, optimizing processes through data and AI for targeting accounts and pricing strategies.

The Data Engineer will design and develop data platforms, manage ETL pipelines, optimize data models, and ensure data governance within an Agile team.

The Data Analytics Manager leads a team to drive data-informed decision-making, improve member experience, oversee data governance, and optimize the data warehouse and analytics capabilities.

The PLEXOS Modeling Consultant develops and evaluates models using PLEXOS software, collaborates with teams on modeling strategies, translates data into visual formats, and communicates findings to clients, promoting solutions to energy-related issues.

The Vice President of Biometrics & Data Management leads strategic and operational functions in biostatistics and data management, focusing on oncology clinical trials, governance, and regulatory interactions.

The Principal Analytics Architect will lead the design and implementation of data architecture and analytics solutions, ensuring integration and scalability, while collaborating with technical and business teams to establish best practices and drive data insights.

The Statistical Programmer will lead programming support for clinical data analysis, ensuring compliance, managing CROs, and developing automation tools. Requires SAS expertise.

Lead and deliver data-driven commercial analytics projects for life sciences clients, design/implement data platform and ETL solutions, analyze data and present insights, manage client relationships and project teams, mentor junior staff, and contribute to business development and internal data warehouse initiatives.