Top Hybrid Data & Analytics Jobs in Boston, MA

The Underwriter will review and underwrite loans, ensuring compliance with standards, and assist in loan structuring and evaluation.

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 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.

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

The role involves owning forecasting, variance analysis, and commercial analytics, while maintaining data infrastructure and producing executive-ready outputs. The ideal candidate is a hands-on analyst with deep forecasting experience in the pharmaceutical industry, responsible for strategic analysis for the executive 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.